69 results about "Biological evolution" patented technology

The invention belongs to the technical field of the network security, and especially relates to a network active defense policy selection method and device based on Bayesian evolutionary game. The method comprises the following steps: constructing a network attack Bayesian evolutionary game model according to an incomplete information game scene in an actual attack-defense adversarial network; setting a selection strength factor for describing gamer learning capacity, and constructing a random replicate dynamic equation about the attacker-defender policy evolution; combining the random replicate dynamic equations about the attacker-defender policy evolution, solving to acquire a stable balance point of the attacker-defender policy evolution, and determining and outputting an optimal defense policy. From the limited intellectual visual angle of the participant, a replicate dynamic equation about the participant decision process is constructed and solved by means of the replicate dynamicmechanism for describing the biological evolution, the method is suitable for incomplete information network attack-defense adversarial network and more suitable for the actual application, the generality and operability in the network decision implementation process are enhanced, and the effective guidance is provided for selecting the active defense policy.

The invention discloses a short-term climate forecast method based on Kalman filtering and evolution modeling. The method comprises the following steps of: establishing a linear model about a forecast factor by the Kalman filtering at first; and simulating an error sequence approaching the Kalman filtering by using a non-linear ordinary differential equation math model on the basis of the linear model a, and performing error forecast. An evolution algorithm is an evolution process for simulating the nature by using a computer, in particular a calculation method for solving complicated problems by simulating biological evolution processes, and has the intelligent characteristics of self-adaptation, self-organization, self-learning, internal parallelism and the like. The two algorithms are combined with each other, so the natural characteristic of the climate can be simulated better than being simulated by a pure linear model, so the climate forecast precision is enhanced. By the method, short-term sunshine duration, temperature and rainfall can be forecast, so future knowledge of the short-term climate can be provided.

The invention discloses a method for automatically extracting a traditional Chinese medicine pulse characteristic function. The method comprises the following steps: obtaining periodic data related to time series from source beyond a computer; selecting data from the periodic data, normalizing and automatically building a mathematical model for the selected data; extracting a characteristic function which meets requirements and characterizes the data characteristic. The method is different from the common methods such as multiple regression method, wavelet analysis method or neural network method and the like. The characteristic function extracted by the method has an unlimited concrete form, an characteristic function extraction program is based on an evolutionary computation method, and the evolutionary computation is a self-organizing and self-adapting artificial intelligence technology which simulates the biological evolution process and a problem-solving mechanism, and is a searching algorithm having a 'generation-detection' iterative process, and the extracted characteristic function can assist doctors of traditional Chinese medicine in objectivizing and quantizing the diagnosis work.

The present invention discloses a design method of the distribution network planning and construction scheme based on the non-dominated sorting genetic algorithm. The method comprises: generating a planning project and carrying out automatic optimization design of the project construction timing; with the new computer technology, sorting out the current situation and the target grid, comparing the current situation with the target grid to obtain the difference between the target grid and the current grid, and based on the difference obtained by comparing and analyzing the grid, automatically generating a planning project library from the current grid to the target grid according to a certain project division principle; using the distribution network construction timing scheme based on the non-dominated sorting genetic algorithm to carry out optimization, and finishing adaptive search of the optimal solution to the problem by imitating the selection, crossover and mutation mechanism in the process of biological evolution, so that parallelism of robustness and implicity are ensured, and the method is more unique and superior than other traditional optimization algorithms. The method disclosed by the present invention satisfies the technical requirements such as safety, reliability, and the like, and ensures the rationality of the intermediate grid and the economy of construction and operation.

The invention provides a biological evolution principle-based improved particle swarm algorithm. The algorithm comprises the following steps of: 1, initializing parameters of an improved particle swarm algorithm; 2, initializing a population position and a speed, calculating fitness value of each particle, and initializing global optimum; 3, judging whether to enter a crossover and variation operation or not, if the judging result is positive, entering step 4, and otherwise, skipping to step5; 4, carrying out grouping on the particles according to sorting of the fitness values, taking the first half of particles as an optimal solution group, taking the rest particles as a bad solution group, carrying out a crossbreeding operation on the optimal solution group, carrying out a variation operation on the bad solution group, combining the two groups of particles into a new population, and sorting the new population with an original population according to the fitness values so as to the first half of new excellent particles; 5, updating the particle positions and speeds, and updating individual optimal and global optimal; and 6, judging whether the improved particle swarm algorithm isconverged or achieves a maximum iteration frequency or not, if the judging result is positive, outputting a position of a global optimal solution as a solution of an optimization problem, and otherwise, returning to execute the step 3.

The invention provides a genetic chip and a detection kit related to major pathogenic microorganisms causing infectious diarrhea of human beings, which are mainly specific to 13 types of bacteria including lapactic bacillus coli / shigella, salmonella, comma bacillus, vibrio parahemolyticus, aeromona hydrophila, plesiomonas, virio hollisae, vibrio fluvialis, vibrio mimicus, Wauter's strains, vibriodamsela and vibrio furnissii. The genetic chip comprises a solid-phase carrier and an oligonucleotide probe fixed on the solid-phase carrier, wherein the oligonucleotide probe comprises DNA (Deoxyribonucleic Acid) fragments selected from genes including a gyrB gene, an ITS gene, a dnaJ gene, a toxR gene and the like with remarkable biological evolution advantages or complementary DNA fragments. By adopting the genetic chip and the detection kit provided by the invention, major pathogenic microorganisms causing infectious diarrhea of human beings can be detected. The genetic chip and the detection kit have the characteristics of easiness and convenience for operation, high flux, high accuracy, high repeatability and the like, and can be applied to clinical detection of inspection departments in hospitals.

The invention discloses a phylogenetic tree rebuilding method for building sub trees on the basis of big trees. The method comprises the following steps that (1) a phylogenetic basic big tree is divided, and the division times, the division weight values and the relationship chain of each leaf node are recorded and are then stored into a database; (2) a species sub directory list is determined according to the species name in a species sub directory, and a matched node element list is found in the database, and a mapping relationship between the sub directory list and the node element list is built; (3) the relationship chain and the node weight value of each node element in the node element list are retrieved in the database; (4) the relationship chains are compared in pairs for forming node element grouping relationship; (5) according to the node weight values and the grouping relationships of the node elements, the corresponding weight value of each node element in a phylogenetic sub tree is calculated, and the phylogenetic sub tree corresponding to the species sub directory is generated and outputted. The phylogenetic tree rebuilding method has the advantage that the requirement of fast building organism evolutionary relationships in the biological samples according to the directory and the like can be met.

The invention discloses a channel reservoir construction influence pre-assessment method. The method includes steps: collecting associated data in a water collection area of a reservoir; determining aplurality of survey points in the water collection area of the reservoir; taking land use types as indexes to survey in the survey points; interpreting use conditions of each type of land at different water levels; on the basis of the survey points, performing plant survey, wild animal survey and fish survey in different months; adopting a mathematic model for constructing a hydrodynamic model and a water quality model of the reservoir, and respectively outputting hydrodynamic data and water quality data; pre-assessing reservoir construction influences. By organic combination of field survey,geographic information technology and numerical simulation and consideration of hydrodynamic force, water quality and ecological elements, land use type variations under different operating water levels of the reservoir, biological evolution trend before and after impounding of the reservoir and reservoir operating hydrodynamic force variations in different typical years are reasonably analyzed,water eutrophication levels are predicted, and the basis is provided for reservoir development, utilization and management.

The invention discloses a method for the distant hybridization between subfamilies of red crucian carps and xenocypri davidi bleekers, comprising the following steps: firstly, selecting red crucian carps and xenocypri davidi bleekers with maturated gonads and good body features to be respectively used as female parent fishes and male parent fishes for hybridization, and carrying out artificial induced spawning on the female and male parent fishes in a breeding season; secondly, selecting the male and the female parent fishes with good effect of induced spawning for carrying out artificial dry-method insemination, and carrying out automatic hatching in running water after the insemination is finished; thirdly, breeding hatched fries, and detecting and screening the bred fries to obtain redcrucian carp and xenocypri davidi bleeker hybridized triploid fishes, red crucian carp and xenocypri davidi bleeker hybridized tetraploid fishes and natural gynogenesis red crucian carps. In the invention, the characteristics of the bred hybridized generation are improved, and the insemination rate and the hatching rate of distant hybridization are remarkably improved; in addition, the method is anew way for generating the tetraploid fishes and the natural gynogenesis red crucian carps, and has important biological significance in the aspects of the biological evolution and the genetic breeding of fishes.

The invention discloses a cultivation method of a gynogenesis megalobrama amblycephala, which comprises the following steps of: firstly selecting and breeding a female megalobrama amblycephala and a male erythroculter ilishaeformis bleeker as parent fishes; then carrying out artificial induced spawning to obtain the sperms of the erythroculter ilishaeformis bleeker and the ripe ovums of the megalobrama amblycephala; mixing the erythroculter ilishaeformis bleeker sperms inactivated by ultraviolet rays with the ripe ovums of the megalobrama amblycephala; 3-4 minutes later, placing the ovums activated at 0-4 DEG C for cold shock treatment for 20-30 minutes; and after incubating embryos treated by cold shock at 23-24 DEG C, obtaining diploid gynogenesis megalobrama amblycephalas through a flow type cell DNA content determination method and a chromosome ploidy detection method of peripheral blood cell culturing. The cultivation method of the gynogenesis megalobrama amblycephala has the advantages of short cultivation time, fast growth speed, high incubation rate, excellent offspring property, and the like, and has great importance on aspects of fish inheritance breeding and biological evolution researches.

The invention discloses a construction method of a novel biological network model for simulating biological evolution characteristics. The method disclosed by the invention is characterized by comprising the following steps: (1) initializing a biological network as follows: an initial network G0 comprising m0 initial nodes is preset, and the nodes in the initial network G0 are mutually communicated, wherein the m0 is a integer and is larger than or equal to 2 and less than 10; (2) increasing a new network node v in the preset unit time as follows: the newly increased node v selects and implements one of a structure domain recombination module, a copy variation module or a growth module according to a random probability r, wherein r meets the following conditions that r is larger than or equal to 0 and less than or equal to 1, and the sum of probabilities of the nodes selecting three models is 1; and (3) circularly and repeatedly carrying out the step (2) until the scale of the network reaches the expected scale. The network model constructed by the method disclosed by the invention has the characteristics of small world (small average distance), no dimension characteristic (power-law distribution), large clustering coefficient and biological network heterogametic properties, can well reflect the characteristics of an actual complex system and meets the statistic properties of an actual biological network.

The invention discloses a method for distant hybridization of cyprinuscarpiohaematopterus and megalobramaamblycephala subfamilies. The method comprises the following steps: taking cyprinuscarpiohaematopterus as female parent fish and megalobramaamblycephala as male parent fish, artificially inducing spawning of the female parent fish and the male parent fish in a breeding season, carrying out dry artificial insemination, incubating obtained fertilized roe in running water in an incubation tank to obtain hybrids of the cyprinuscarpiohaematopterus and the megalobramaamblycephala, and testing and screening the hybrids to obtain diploid cyprinuscarpiohaematopterus, diploid common-carp and crucian-carp hybrids and diploid crucian carp. The method for distant hybridization of the cyprinuscarpiohaematopterus and megalobramaamblycephala subfamilies integrates the excellent characters of the cyprinuscarpiohaematopterus and the megalobramaamblycephala, enriches the fish species on the market, lays a favorable foundation for selection and breeding of excellent species, provides precious resources for follow-up selection and breeding of novel polyploid fish and is of great biological significance in biological evolution and genetic breeding of fish.

The invention discloses an establishment method and a fry culture method of a heterologous hybrid culter strain. The establishment method comprises the steps that erythroculter ilishaeformis in the Changjiang river system serves as a female parent, 'Pujiang No.1' megalobrama amblycephala serves as a male parent, artificial induced spawning, fertilization, hatching, fry culture and screening are carried out, and hermaphroditic fertile diploid hybrid culter F1 is obtained; the hybrid culter F1 and the male parent erythroculter ilishaeformis in the Changjiang river system are subjected to backcross, hatching and breeding are carried out, diploid hybrid culter F2 is obtained, and establishment of the heterologous hybrid culter strain is completed; the diploid hybrid culter F2 is subjected to self-cross, screening is carried out, hybrid culter F3 is obtained, hybrid culter F4 and hybrid culter F5 are obtained in the same way, and the stable heterologous hybrid culter strain is obtained. Compared with the prior art, by means of the establishment method of the heterologous hybrid culter strain, the novel hybrid fish, namely heterologous hybrid culter, which has the hybrid advantages of a high growing speed, tightly-closed scales, stable hypoxia resistance inheritance, hermaphroditic fertility and the like can be cultured, and great significance is achieved on the aspects of fish genetic breeding and biological evolution.

The invention discloses a channel network steady-state evolutionary game method in a blockchain environment. Based on finite rationality and a replication dynamic mechanism of a biological evolution process, node transactions in the channel network are modeled into a dynamic evolutionary game model, the model designs a channel network dynamic defense mechanism based on evolutionary game, the mechanism adds a defense strategy to a strategy space of an I-type node, and under the condition of considering the attack cost and success rate of the II-type node under the condition of deploying the defense strategy, and the defense mechanism can help the I-type node to resist attack behaviors of the II-type node at a certain probability. The nodes of the model have limited and rational evolutionarylearning capability, and can dynamically adjust respective strategies to achieve effective defense according to different attack strategies of attackers.

The invention discloses an improved multi-objective genetic algorithm-based ship lock scheduling method. The method comprises the following steps of referring to a biological evolution process, defining a ship lock arrangement result as an individual of an evolutionary object, and carrying out chromosome coding and population initialization; constructing a target function according to different scheduling indexes, and performing individual fitness calculation on an initial population; repeating the selection operation, the crossover operation and the variation operation according to the sequence; carrying out evaluation decision from the global angle; and outputting an optimal gear arrangement scheme which meets the scheduling requirement. According to the invention, the evaluation decision is carried out from the global angle, and a globally optimal solution can be obtained more reasonably and more efficiently. Various scheduling indexes are considered, and a plurality of objective functions are established. The decision-making assistance value is improved, and the fitness calculation method is improved. The time efficiency of algorithm calculation is improved, and the requirements of intelligent scheduling and scheduling of the ship lock are met.

The invention discloses a method for the distant hybridization of megalobrama amblycephala and xenocypris daviodi bleeker; in the method, diploid megalobrama amblycephala (or xenocypris daviodi bleeker) is taken as the maternal ripe fish, and diploid xenocypris daviodi bleeker (or megalobrama amblycephala) is taken as the paternal ripe fish; fertilized eggs are incubated through the artificial dry fertilization to the maternal ripe fish and the paternal ripe fish; the incubated fry is used to feed, to obtain the hybrid variety of the megalobrama amblycephala and the xenocypris daviodi bleeker. The method of the invention not only improves the fertilization rate and the incubation rate of distant hybridization, and the obtained novel types have the advantages of elegant shape, tender fish, strong stress resistance, etc.; therefore, the method is significant in the research on fish genetic breeding and the theory of biological evolution in future.

The invention discloses a breeding method for improving Carassius auratus cuvieri Temminck Schlegel. Allotetraploid Carassius auratus bream with the chromosome number of 148 is selected from the filial generation obtained with the Carassius auratus cuvieri Temminck Schlegel as the female parent and Megalobrama amblycephala as the male parent, the allotetraploid Carassius auratus bream is subjectedto artificial intensive culture, artificial parturition hastening and dry artificial insemination, oosperm is incubated by dropping water and then raised to obtain the selfed generation, and sexuallyfertile improved diploid Carassius auratus cuvieri Temminck Schlegel with the chromosome number of 100 is obtained. The improved Carassius auratus cuvieri Temminck Schlegel grows fast and is high inrate of reproduction, small in head, high in body back, good in meat quality and high in disease resistance. The invention further provides a construction method of the improved Carassius auratus cuvieri Temminck Schlegel strain. The improved Carassius auratus cuvieri Temminck Schlegel strain is sexually fertile and stable in inheritance, and the construction method has an important significance in genetic breeding and biological evolution of fishes; in production and application, due to construction of the improved Carassius auratus cuvieri Temminck Schlegel strain, a high-quality genetic resource library is provided for breeding novel excellent Carassius auratus.

The invention provides a method and device for online simulation of cascading failures of a grid system based on a genetic algorithm. The method includes the steps that a grid topology is generated according to read system state information, and tidal data of a current system state are acquired; according to the tidal data of the current system state, the adaptive value of each system state in a generated system state set is calculated; according to the system state set, an initial population is generated; according to the size of the adaptive value of each individual in the initial population, a new population is generated optionally; the new population serves as a parent population and generates new child populations according to hybridization and mutation of the genetic algorithm; the generated child populations are continuously updated to meet preset cut-off conditions, and then a cascading failure result of a grid is output. By simulating the biological evolution process based on natural selection, online cascading failure evaluation is conducted on the grid, probable cascading failure paths in the current state of the system are quickly found, a failure early warning is given out, and aid decision making is provided for scheduling personnel.

The invention relates to a computer program, more specifically to a method for quantitatively analyzing the evolution of RNA structural robustness. The invention aims to provide a quantitative analytical method capable of analyzing RNA structural robustness simply, conveniently and quickly, solves the problem that RNA structural robustness is difficult to evaluate and quantify, reaches the objective of analysis of biological robustness origin and evolution thereof, thus improving the understanding of biological evolution. The invention is based on a RNA secondary structure as the research platform, provides a method for quantitatively analyzing the evolution of RNA structural robustness. The method comprises the steps of checking the validity of a RNA sequence inputted from a computer terminal, generating a control sequence, calculating RNA structural robustness, and quantitatively analyzing the evolution of the RNA structural robustness.

The invention discloses an intelligent two-process processing scheduling method based on a fault RGV. The method comprises the following steps: taking time length data of a single-time two-process product processed by an RGV system as system parameters; for an RGV intelligent machining system with symmetrical machining four groups of tool bits on each of two sides of the single track, selecting minimum of waiting time of idile time of a first procedure of machining bit CNC (product machining) and a second procedure of machining bit CNC (product machining) as a major target; taking into consideration the object number of machined objects, machining time and CNCcodes of machining bits for the system, establishing a biological evolution-dynamic planning prediction model so that prediction analysis is conducted on batch product production and machining; adopting a random increment learning mechanism for solving the optimal one-procedure and two-procedure distribution scheme of the machining tool bit CNC. The method provides reference to an enterprise to make a work plan.

The invention discloses a method for establishing a hybrid line of Japanese white crucian carp and red crucian carp, wherein a female Japanese white crucian carp and male red crucian carp obtained byartificial induction of gynogenesis are raised as a female parent and a male parent respectively. The offspring obtained from hybrid are raised and screened to obtain diploid zygotic crucian carp F1 which is amphoteric fertile; the diploid zygotic crucian carp F1 is cultivated and is subjected to self-cross to obtain zygotic crucian carp F2 which is amphoteric fertile, amphoteric fertile diploid zygotic curucian carp Fn is obtained through self-cross at least twice. A diploid hyprid crucian carp line which is stable in inheritable characters and amphoteric fertile is obtained. The line has important significance in fish genetic breeding and biological evolution and provides high-quality germplasm resources for breeding novel fine crucian carp. The invention also discloses a cultivation method for the zygotic crucian carp No. 2, which is obtained by backcrossing breeding male Japanese white crucian carp F1 with female parent zygotic crucian carp No. 1. The method is simple and easy to operate. The zygotic crucian carp No.2 has high dorsum, grows fast, has sweet and tender meat, and is strong resistance to stress and diseases.

The present invention discloses a micro-grid and micro-source capacity optimization address distribution method based on islanding. The method comprises the following steps of: 1) inputting an initial parameter; 2) analyzing a typical day; 3) setting an initial parameter of a quantum evolution algorithm; 4) obtaining an optimization parameter by an inner layer optimization method; 5) calculating a fitness value of a particle; 6) updating a local optimal vector and a global optimal vector; 7) using a biological evolution rule to update a position value of the particle; 8) performing local search; 9) performing convergence checking; and 10) outputting a result. By introducing an islanding concept, the present invention proposes the micro-grid and micro-source capacity optimization address distribution method considering islanding.

The embodiment of the invention discloses novel antibacterial active peptide based on human autocrine. According to the novel antibacterial active peptide, SPLUNC1 protein excreted by a human body is taken as a template, a combinational design of novel antibacterial peptide is carried out by combining the molecular design and synthesis theories of antibacterial peptides (AMP) with a biological evolution conserved gene principle based on antibacterial mode sequence requirements and modification on amino acid structures and residue structures of prepotent loci, and a mature peptide synthetic technique is utilized for preparing novel antibacterial active peptide; the length of each AMP is only equal to 1 / 10 of that of primary SPLUNC1 protein, furthermore, the synthesis is easy, and the cost is low; the new synthesized AMP is derived from highly conserved amino acid sequences of the human body and has high biological stability and a proper half-life period; in vitro experiments prove that the new synthesized AMP has relatively good water solubility and broad-spectrum antibacterial and anti-fungus actions and is expected to be developed into a new antibacterial clinical drug, and hemolysis is nearly avoided.

The invention relates to high-specificity nucleic acid detection in the fields of basic research (gene expression regulation, biological evolution, species identification and genotyping) and application research (drug development, forensic identification, food and drug safety supervision, customs inspection and quarantine and the like), in particular to a high-specificity nucleic acid detection reagent and a using method thereof. The main components of the detection reagent include a specific probe for detecting a target nucleic acid strand and single-stranded nuclease capable of degrading single-stranded nucleic acid. The high-specificity nucleic acid detection reagent disclosed by the invention is simple and convenient to operate, fast and convenient, and high in cost performance, can meet the requirement of automation, is time-saving and labor-saving, and is convenient to realizing large-scale experiments and basic research.

The invention relates to a simulation biology teaching method and device based on an evolutionary tree, electronic equipment and a storage medium. The method comprises the following steps: acquiring apreset biological evolution relation table, wherein the biological evolution relation table comprises a mapping relation between representative organisms for biological evolution teaching and geneticrelationships of the representative organisms; establishing a biological evolutionary tree containing the representative organisms according to biosystematics and the genetic relationships; determining key nodes of the biological evolutionary tree, and searching for and supplementing biological information corresponding to the key nodes of the biological evolutionary tree; and generating biological evolutionary tree simulation teaching information according to the biological evolutionary tree and the biological information corresponding to the key nodes, and calling a display interface to display the biological evolutionary tree simulation teaching information. The invention discloses an evolutionary tree-based simulation biological teaching system which can be automatically generated byreceiving and analyzing the biosystematic and genetic relationship information of the representative organisms.

The invention discloses a method for inducing the gynogenesis of megalobrama amblycephala by koi sperm, which roughly comprises the following steps: obtaining a mature ovum and the koi semen of the megalobrama amblycephala by artificial spawning, inactivating the koi semen with a 18-20W ultraviolet lamp for 26 to 30 min, then mixing with the ovum of the megalobrama amblycephala, activating the eggin normal temperature water for 2 to 3 min, then performing cold treatment in cold water at 4 to 6 DEG C for 20 to 22 min, performing running water incubation in normal temperature water, and continuing cultivation to obtain the megalobrama amblycephala in gynogenesis. The koi sperm is adopted to induce the gynogenesis of the megalobrama amblycephala, a megalobrama amblycephala offspring in gynogenesis is obtained by successful breeding, and the growth rate, the meat quality, the stress resistance and the hypoxia tolerance are obviously stronger than those of common megalobrama amblycephala during a breeding process. The method has obvious advantages in breeding, which not only provides a good foundation for improving germplasm resources of the megalobrama amblycephala, but also has greatsignificance in genetic breeding and biological evolution.

The invention discloses a cellular-automaton-based biological evolution method. The method comprises the steps that characteristic data of organisms is obtained, the time needed for evolving the organisms is determined, and influence factors are formed; according to the characteristic data of the organisms, by means of a bionic algorithm, a bionic shape region is generated through simulating; theweights of all influence factors are obtained through a hierarchical analysis algorithm, and weighted summation is conducted on all the influence factors according to the weight sizes of variables tocalculate development suitability data; a tissue growth mode is selected, and in combination with the development suitability data, the tissue growth is simulated for the corresponding biological shape region after division; the simulation process is stopped after the preset time required by evolution is met, and the biological evolution results are output. Accordingly, the technical problem thatin the prior art, unstable factors are not combined for conducting evolution on the organisms is solved, and therefore the error rate is lowered to the greatest extent, and the evolution process of the organisms is achieved.

The invention discloses a method for filtering, evolving and classifying proteome and a system thereof. The method comprises the following steps of: an original data acquiring step: acquiring the genome data and the proteome data (S110) of species to be classified; a predicting step: predicting a transversal transfer gene (S120) in a genome sequence based on the genome data; a filtering step: filtering a proteome sequence (S130) corresponding to the transversal transfer gene in the proteome based on the proteome data and the transversal transfer gene; a calculating step: calculating the evolving distance (S140) between the species with the filtered proteome sequence; and an inferring step: inferring a phylogeny relation (S150) between the species by utilizing the evolving distance between the species. According to the invention, existing interference information which is caused by transversal gene transfer during deducing a biogenesis process can be eliminated so that the deduced biogenesis process is more accurate to provide a more reliable classification basis for biological evolution and classification.

The invention provides a solution method for a channel stage-discharge relation model. The method is simple, quick and accurate in calculation and includes: step 1, repeatedly measuring three groups of water stage and discharge data under three steady flow states; step 2, on the basis of the three groups of water stage and discharge data under each steady flow state, adopting a weighted average method for solving water stage and discharge estimated values under corresponding steady flow state; step 2-1, calculating an average of the three groups of discharge and stage measurement values; step2-2, calculating a weight coefficient of a jth discharge and stage measurement value under an ith steady flow state; step 2-3, calculating discharge and stage estimated values under the ith steady flow state; step 3, on the basis of simulation of the biological evolution theory, solving a group of solutions to the stage-discharge relation model, and repeatedly solving to obtain N groups of model solutions; step 4, creating a state equation and a measurement equation of the model solutions; step 5, subjecting the N groups of model solutions to filter processing on the basis of a kalman filtering algorithm to obtain an optimal solution of the model.

The invention provides a method for analyzing a biological evolution law through entropy change. The method includes introduction of biomolecule effective volume and free volume concept, definition of an entropy change function, calculation of effective entropy change and free entropy change, analysis of the biological evolution law. Preferably, the method for analyzing the biological evolution law through entropy change also includes introduction of biomolecule effective volume and free volume concept, definition of the entropy change function, calculation of effective entropy change and free entropy change; the biological evolution law can be acquired through calculation of effective entropy change and free entropy change of biological materials, and a new analysis method and theoretical direction are provided for research and development of structural biology, molecular biology, cell biology, developmental biology, genetics and evolutionary biology.