“genetic algorithm”的概念、定义、翻译、参考文献-科学参考

genetic algorithm

Statistics

An algorithm used in particular for combinatorial optimization and machine learning. Later search locations are derived by reproduction, mutation, or crossover, which represent three different rules for adjusting or combining the coordinates of earlier search locations.

Computer

A technique in artificial intelligence that uses the ideas of genetic mutation, recombination, and survival of the fittest. A large population of potential solutions is maintained from which pairs are cross-matched to produce new members. The best examples in the population are used to breed the next generation.

Internet

A technique used in data mining. It involves the development of a number of possible solutions to a problem followed by the combination of the most promising ones into better solutions. The term ‘genetic’ is used because it mimics the survival of the fittest paradigm used in biology.

Electronics and Electrical Engineering

An algorithm that emulates biological evolutionary theories to solve optimization problems. In computing terms, a genetic algorithm maps a problem onto a set of (typically binary) strings of characters, each string representing a potential solution. The genetic algorithm then manipulates the most promising strings in its search for improved solutions. A genetic algorithm operates through a simple cycle of stages: creation of a ‘population’ of strings; evaluation of each string; selection of ‘best’ strings; genetic manipulation to create the new population of strings.

单词	genetic algorithm
释义	genetic algorithm Statistics An algorithm used in particular for combinatorial optimization and machine learning. Later search locations are derived by reproduction, mutation, or crossover, which represent three different rules for adjusting or combining the coordinates of earlier search locations. Computer A technique in artificial intelligence that uses the ideas of genetic mutation, recombination, and survival of the fittest. A large population of potential solutions is maintained from which pairs are cross-matched to produce new members. The best examples in the population are used to breed the next generation. Internet A technique used in data mining. It involves the development of a number of possible solutions to a problem followed by the combination of the most promising ones into better solutions. The term ‘genetic’ is used because it mimics the survival of the fittest paradigm used in biology. Electronics and Electrical Engineering An algorithm that emulates biological evolutionary theories to solve optimization problems. In computing terms, a genetic algorithm maps a problem onto a set of (typically binary) strings of characters, each string representing a potential solution. The genetic algorithm then manipulates the most promising strings in its search for improved solutions. A genetic algorithm operates through a simple cycle of stages: creation of a ‘population’ of strings; evaluation of each string; selection of ‘best’ strings; genetic manipulation to create the new population of strings.
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