55 results about "Survival of the fittest" patented technology

A new approach is proposed that contemplates systems and methods to provide harmonious tiling layout for a single heterogeneous data feed with a unique and brief syntax. The approach provides solutions to fit shapes into a container without having any holes by automatically providing the most optimum harmonious layout and tile presentation “win-out” over time, and a survival of the fittest of visual presentation based on configurable metrics. A single user interface combines the action of searching and publishing as a single process whereby search results are formatted with the intention to facilitate publishing the chosen items.

The invention discloses a universal gravitation search-based unmanned plane air route planning method, which comprises the following eight steps: 1, establishing an unmanned plane air route planning mathematical model; 2, setting initialization improved universal gravitation search algorithm parameters and battlefield environmental parameters; 3, randomly initializing N routes and initial positions and accelerated speeds of various particles, and establishing a rotating coordinate system; 4, calculating threat cost of each route according to threat information and the mathematical model; 5, updating inertial mass Mi(t) of the particles according to a weight-based rule; 6, calculating the sum of accelerated speeds of each particle in all directions according to a universal gravitation standard, and updating the speeds of the particles according to a group information speed updating rule; 7, updating the position of each particles according to the updated speed of each particle and the choice of survival of the fittest; and 8, if the number of iterations is greater than the maximum number of iterations, exiting a circulation, otherwise, returning to the step 4 for next iteration. The obtained optimal air route coordinate is subjected to coordinate inverse transformation and a result is output.

The invention belongs to the technical field of identifying synchronous generator parameters, and relates to a method for identifying the synchronous generator parameters by an improved evolution algorithm. Starting from an randomly-generated initial generator parameter group, optimal solution is searched through generation of an initial group, fitness calculation, recombination, mutation and selection, and stopping operation according to operating principles of struggle for existence and survival of the fittest by using actual measurement data in a power management unit (PMU) in a wide area measurement system (WAMS); and an improved evolution strategy algorithm of biomimicry is taken as optimizing theoretical basis, the decoupling of a direct axis and a quadrature axis of the synchronousgenerator and steady state and transient state are processed separately, an initial practicable parameter group is established through design parameters, and a differential equation of a higher orderis calculated by selecting a high-precision improved Euler method, so that the output variable set by the generator is solved, the optimizing process is realized through recombination, mutation and selection of the initial group, and the synchronous generator parameters are identified. The method is simple and has a reliable principle, and the correctness of the parameter identification is high.

The invention relates to a search site with human-aided translation function, which belongs to the technical field of internet. The technical issue to be solved is that a site that a translated foreign web page can be stored in the network space so as to ensure that the translated foreign web page can be downloaded by a search engine conveniently and also can be searched by net friends, an interpreter can add the network space with zero limit and set bilingual material permission (sharing, paying, allies or secrecy), and the reasonable selection with a 'survival of the fittest' mode (trust, observation, mistrust or original state) to the added interpreter can be carried out and the search result ranging lists leaded by the net friends are added is provided.

The invention provides a method for updating a deteriorated grassland bluegrass lawn at low cost in the north. Weed control, pruning height control, lawn partition area and turf block size determination, rooting hastening with grass blocks soaked in pesticide, determination of the number of turf blocks planted in a community per square meter and planting positions, compacting, watering, sand covering, growth regulator application and other technologies are applied, on the basis of the natural rules of plant interspecific competition and the survival of the fittest, zoysia japonica can easily invade the deteriorated grassland bluegrass lawn due to strong creeping stems and the strong growing vigor and competitiveness, other grass seeds can hardly invade the lawn once the population of the zoysia japonica is formed, and therefore the aim of updating the deteriorated grassland bluegrass lawn at low cost is achieved. The effective method can be applied to the production practice of landscaping in a large area, can solve the problem of a deteriorated cool-season lawn, and can lower updating cost.

The invention discloses a rough set attribute reduction method based on genetic algorithm. The method comprises: (1) obtaining a core of a decision table, and generating an initial population randomly by initialization; (2) controlling the initial population to correspond to the gene position thereof through the attribute core, and calculating a fit value according to fitness function; (3) repairing the population by adopting modification operator; (4) judging whether to satisfy the algorithm terminating condition, if yes, outputting the best individual, and if no, proceeding to (5); (5) performing survival-of-the-fittest operation to individuals in the population by using a selection operator in the genetic algorithm; (6) performing interlace operation to the population with interlace probability by adopting one-point interlace rule; and (7) performing mutation operation to the population according to a heuristic mutation operator with the gene position corresponding to the attribute core not mutated. The technical scheme of the invention is designed to rapidly and efficiently obtain the smallest reduction of attribute in the decision table and efficiently improve information accuracy.

The invention discloses a method for planning route of an unmanned surface vehicle based on universal gravitation search. The method comprises the following steps: firstly, establishing a mathematical model of the surface unmanned vehicle, and initializing parameters of the method; secondly, randomizing a plurality of paths and an initial position and an accelerated speed of each particle, and establishing a rotating coordinate system; thirdly, updating inertia mass of each particle according to a rule of dynamic inertia weight, and updating the speed of each particle according to an improved universal gravitation method; finally, updating the position of each particle according to an updated speed of the particle and a selection principle of survival of the fittest; if the number of iterations is greater than the maximum number of iterations, exiting a loop; otherwise, returning to the previous step for entering into the next iteration; performing coordinate inverse-transformation on the obtained optical path coordinate, and outputting results.

The invention belongs to the technical field of image processing, and particularly discloses a graphic image sorting method based on a genetic programming algorithm. The method comprises the steps that (1) image feature sets and training feature sets are constructed; (2) first-stage relevant parameters are set; (3) the image features are extracted; (4) species are initialized and fitness is estimated; (5) individuals are subjected to the survival of the fittest, superior individuals are subjected to crossover and variation, and the fitness is estimated; (6) the individuals are subjected to partial searching; (7) the species are estimated, and if the crossover and variation operation is completed is judged; (8) the good species are selected, and if evolution is over is judged; (9) the species are again initialized according the new features; (10) the better species are selected for crossover and variation; (11) an image matching model is output according to the optimal individual, and an individual tree is decoded to obtain new image features. The training model generated through the method can effectively improve image sorting precision.

This invention discloses a method and an apparatus for automatic regulating core with waveguide optical fiber based on genetic algorism, which is characterized by forming mapping between regulating-core physical parameter and genetic gene model, describing a certain relative place between waveguide optical axis and fibre-optical optical axis when regulating core by individual concept, taking coupling efficiency as adapting function to judge and adjusting constantly the related place between waveguide and optical fiber through generations of genetic manipulation such as selecting regeneration, cross-over, variation according to genetic principle about survival of the fittest until astringing in the optimal coupling place, and adopting up-rush method adjusting four-axis in little neighborhood when realizing the iliofemoral ligament of waveguide and optical fiber is lower than 2dB to find the optimum place between waveguide and optical fiber and finish the process

The invention discloses an interplanting method for maize and sunflowers and relates to the technical field of agricultural product planting. The method comprises the following steps: (1) land selection; (2) land preparation; (3) maize seedling raising; (4) sunflower seedling raising; (5) transplanting and field planting; (6) field management; and (7) harvesting. According to the method, survival of the fittest is achieved by adopting an interplanting mode, and meanwhile, the yield and quality of the maize and the sunflowers are improved; and the planting method is scientific and reasonable, so that the cost can be effectively reduced, and the economic benefit can be improved.

The invention belongs to the technical field of simulation design and optimization of microwave windows in the field of microwave electric vacuum, and particularly relates to a microwave window quick optimum design method based on an NSGA-II. A pattern matching method and the NSGA-II are combined, two specific reconcilable and coordinative target optimization functions are provided according to the performance requirements of the microwave windows, the mechanism of survival of the fittest of a GA algorithm is fully achieved, it is guaranteed that the algorithm is close to the globally optimal solution, and quick optimization design of all kinds of microwave windows can be achieved. The method has the advantages that quick optimization design of all kinds of microwave windows is achieved, the problems that due to the fact that pure numerical value electromagnetic simulation software is adopted in the microwave window design process, consumed time is long, and a large number of computer resources are consumed are solved, and the limit that due to the fact that the pattern matching method and a traditional single-object optimization GA algorithm are combined, the requirement of a microwave window broadband cannot be met is overcome. Meanwhile, the method is suitable for optimum design of other broadband microwave devices.

The invention discloses a method for detecting outlier data from large-scale high dimensional data based on a genetic algorithm, and belongs to the technical field of outlier data mining. The method comprises the steps of (1) sample discretization and encoding, namely encoding the high dimensional data and enabling each individual to correspond to one character string, selecting a sparse coefficient as a fitness function and taking the coefficient as a criterion for judging whether the individuals are good or bad, (2) loop iteration, namely maintaining a group which comprises a plurality of individuals and updating the group continuously by use of crossing, mutation and selection according to the principle of survival of the fittest, and (3) decoding to obtain the outlier data, namely decoding the group obtained at last by corresponding to the corresponding sample data and then finding the hidden outlier data in the sample data. The method for detecting the outlier data from the large-scale high dimensional data based on the genetic algorithm is capable of effectively and quickly finding out the hidden outlier data from the large-scale high dimensional data.

The invention discloses a preparation and application methods of an efficient diluent for giant salamander sperm and relates to the technical field of giant salamander cultivation methods. The efficient diluent is prepared by medical 0.9% sodium chloride injection, double distilled water, glycerin, glucose, sodium citrate and mycillin. During use, the diluent is used to dilute the sperm, the diluted sperm is used to perform insemination on eggs, and the eggs are submerged by the diluted sperm in a way that the diluted sperm is 1cm higher than the eggs during the insemination. The preparation and application methods have the advantages that the giant salamander sperm is diluted by the combined diluent, the swimming range of sperms in a bath solution is expanded, the bonding surfaces of the sperms and the eggs is enhanced greatly, the user amount of pure sperm in each insemination is reduced, the sperms with low activity cannot swim into egg envelopes to inseminate the eggs, malformed or weak residual bodies are reduced greatly, survival of the fittest is achieved before the insemination, and the quality of the insemination is increased effectively.

A method is provided for deriving a near-optimal fuzzy automaton for a given separation problem. The method includes the steps of: forming a first generation population (24) of fuzzy automata, where the first generation population of fuzzy automata includes a plurality of fuzzy automata; performing a mutation operation (28) on each fuzzy automaton in the first generation population of fuzzy automata; reproducing the first generation population of fuzzy automata using a survival of the fittest operation (30, 32, 34); and applying a cross-over operator (36) to the reproduced first generation population of fuzzy automata, thereby yielding a next-generation population of fuzzy automata. A near-optimal fuzzy automaton is identified by evaluating the performance (38) of each fuzzy automaton in the next-generation population; otherwise the methodology is repeated until a near-optimal fuzzy automaton is derived for the given separation problem.

A network product display method, apparatus, system, server and terminal are disclosed in the present invention, and belong to the field of computer technology. The method includes: collecting behavior events transmitted by at least one terminal, and the behavior events are generated according to operations on the displayed network product; adjusting the lifetime of the network product according to the behavior events, and the lifetime is the remaining display time of the network product. The present invention, by collecting the behavior events generated according to the operations on the network product and adjusting the lifetime of the network product according to the collected behavior events, solves the problem that lots of server resources are occupied when more network products are released by the server, and achieves the effect that the server resources occupation is reduced and the survival of the fittest of the network products is realized.

The invention relates to a method for cultivating a mother strain of nodule bacteria. The method comprises a strain domesticating and culturing step: carrying out inferior elimination and superior selection by virtue of methods of environmental screening, antagonism competition and survival of the fittest in a simulated target environment, so as to find and cultivate the strain matched with the target environment and the variety. By virtue of the method, the problems that the nodule bacteria are poor in adaptability and the inoculating scaffolding rates of leguminous plants are low are well solved, the action of the nodule bacteria is fully exerted, and a product meets the requirements of organic agricultural products and is low in cost, high in yield and good in benefit.

A new approach is proposed that contemplates systems and methods to provide harmonious tiling layout for a single heterogeneous data feed with a unique and brief syntax. The approach provides solutions to fit shapes into a container without having any holes by automatically providing the most optimum harmonious layout and tile presentation “win-out” over time, and a survival of the fittest of visual presentation based on configurable metrics. A single user interface combines the action of searching and publishing as a single process whereby search results are formatted with the intention to facilitate publishing the chosen items.

The invention provides a speech input method of a mobile terminal. Meanwhile, a voice message inputted by a user is recognized on the basis of two kinds of different input methods. Two recognition results are compared. According to a comparison result, the recognition results are displayed to the user. Accuracy of speech recognition is improved by adoption of multiple input methods for recognitionand matching. In addition, two input methods are scored cumulatively on the basis of selections made by the user to the recognition results. After the scores reach the threshold value, a speech recognition module of an input method with a low credit is eliminated. Therefore, a signal module is kept and deleted on the basis of an input method. The input method is configured in a more flexible manner. User experience is improved. Meanwhile, utilization rate of storage space of the terminal is increased. Finally, a novel input method or a novel speech input module replaces an eliminated input method or an eliminated speech input module, which reflects survival of the fittest in speech recognition. Therefore, accuracy of speech recognition is improved so that user experience is improved.

A system and method provide advertising power to any person wishing to express an opinion, by distributing that message broadly to the public, regardless of the form of media or demographic groups, and provide a mechanism for supporting viewers to push it forward, and measures its success compared to competing messages. The invention provides access to advertising and dissemination of ideas to the masses of people, regardless of their membership in a social media or party or demography or geography or financial position. After the message is initiated, the invention allows for the public to support it by paying for additional views or clicks or advertisements which themselves allow for further support and so on. From that point forward, the message is propagated by the principle of survival of the fittest, where all messages are heard, but only the most widely accepted survive and grow.

The invention discloses a multipurpose petri dish for an assisted reproduction test; it comprises a petri dish and a dish cover, the petri dish includes a dish body, an egg placing cup, a plurality of sperm placing cups and a plurality of sperm channels; a columnar holder is arranged in the middle of the dish body The egg placing cup is fixed on the column-shaped support table; a plurality of sperm placing cups are arranged in the main body of the dish surrounding the egg placing cup, and the height of the mouth of the multiple sperm placing cups is slightly lower than the height of the bottom of the egg placing cup. The outer walls of a plurality of sperm placement cups are respectively provided with sperm lead-out ports near the mouth of the cup, and the outer walls of a plurality of egg placement cups are respectively opened with sperm lead-out ports near the bottom of the cup; between the sperm introduction port. Beneficial effect: the multiple sperm channels are all inclined, which can better reflect the survival of the fittest in sperm swimming, so that only the sperm with the best activity can swim to the egg placing cup through the sperm channel and combine with high-quality eggs. Strong practicability and good use effect.

The invention provides a WLAN antenna combination method and system. The method includes the steps that on-off states of all antennas are endowed with antenna weights respectively, antenna weight sequences are formed according to selection of the antennas, and multiple antenna weight sequences are selected to constitute a contemporary antenna weight set suitable for genetic algorithm operation; pairing, crossover and variation are carried out on the antenna weight sequences to obtain a variation antenna weight set; if a variation result does not meet the requirement, selection, crossover and variation steps continue to be conducted on the mutation result till the antenna weight sequence with an adaptive value f larger than a threshold set by the system is found. A genetic algorithm is used for searching for antenna combinations meeting communication quality requirements, each crossover and variation result adaptive value can be superior to the previous crossover and variation result adaptive value by effectively using criteria of survival of the fittest and crossover-and-variation in the genetic algorithm, the antenna combinations meeting the communication quality requirements can be found rapidly, the number of times of section of the antenna combinations is reduced, system expenses are lowered, and the communication effect is improved.