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In computer science, evolutionary computation is a subfield of artificial intelligence (more particularly soft computing) that can be defined by the type of algorithms it is concerned with. These algorithms, called evolutionary algorithms, are based on adopting Darwinian principles, hence the name. Technically they belong to the family of trial and error problem solvers and can be considered global optimization methods with a metaheuristic or stochastic optimization character, distinguished by the use of a population of candidate solutions (rather than just iterating over one point in the search space). The application of recombination and evolutionary strategies makes them less prone to get stuck in local optima than alternative methods.

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  • Evolutionary computation
  • Computación evolutiva
  • Computazione evolutiva
  • 進化的計算
  • Obliczenia ewolucyjne
  • Computação evolucionária
  • Эволюционное моделирование
  • 进化计算
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  • La computación evolutiva es una rama de la inteligencia artificial que involucra problemas de optimización combinatoria. Se inspira en los mecanismos de la Evolución biológica.
  • 計算機科学において、進化的計算(evolutionary computation)は組合せ最適化問題を含む人工知能(より狭義には計算知能)の一分野である。 進化的計算は、人口増加のような反復的過程を用いる。その人口は目的の結果に合うように誘導されたランダムかつ並列的な探索によって人為選択される。このような過程は、進化の生物学的機構にヒントを得ている。
  • A computação evolucionária é um ramo da ciência da computação que tem por base os mecanismos evolutivos encontrados na natureza. Esses mecanismos estão diretamente relacionados com a teoria da evolução de Darwin, onde ele afirma que a vida na Terra é o resultado de um processo de seleção, feito pelo meio ambiente, em que somente os mais aptos e adaptados possuirão chances de sobreviver e, consequentemente, reproduzir-se.
  • Obliczenia ewolucyjne – ogólna nazwa technik opartych na zasadach ewolucji. Wyróżnia się wśród nich następujące metody: Algorytmy ewolucyjne: * algorytmy genetyczne * programowanie ewolucyjne * strategie ewolucyjne * programowanie genetyczne
  • 进化计算是遗传算法、进化策略、进化规划的统称。进化计算起源于20世纪50年代末,成熟于20世纪80年代,目前主要被应用于工程控制、机器学习、函数优化等领域。
  • In computer science, evolutionary computation is a subfield of artificial intelligence (more particularly soft computing) that can be defined by the type of algorithms it is concerned with. These algorithms, called evolutionary algorithms, are based on adopting Darwinian principles, hence the name. Technically they belong to the family of trial and error problem solvers and can be considered global optimization methods with a metaheuristic or stochastic optimization character, distinguished by the use of a population of candidate solutions (rather than just iterating over one point in the search space). The application of recombination and evolutionary strategies makes them less prone to get stuck in local optima than alternative methods.
  • La computazione evolutiva è un sottocampo dell'intelligenza artificiale che consiste principalmente nell'ottimizzazione iterativa continua e combinatoria della soluzione di un problema. È nata durante gli anni sessanta guidata dall'idea di automatizzare la risoluzione di problemi.
  • Эволюционное моделирование (англ. Evolutionary computation) использует признаки теории Дарвина для построения интеллектуальных систем (методы группового учёта, генетические алгоритмы). Является частью более обширной области искусственного интеллекта — вычислительного интеллекта. Эволюционное моделирование это уже достаточно сложившаяся область, в которой можно выделить:
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