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第1行： − + − − − − {{short description|Trial and error problem solvers with a metaheuristic or stochastic optimization character}} − − − − {{Evolutionary biology}} − − − − {{Use mdy dates|date=January 2012}} − 第19行：
第6行： − 在计算机科学中，演化计算<font color="#ff8000"> 演化计算Evolutionary computation</font>是一个受生物进化启发的全局优化算法家族，人工智能和软计算的子领域研究这些算法。用技术术语来讲，他们是一个基于人口试验和错误的问题解决并具有亚启发式或随机优化性质的家族。+
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此词条暂由Henry翻译。{{for|the journal|Evolutionary Computation (journal)}}
此词条暂由Henry翻译。
In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character.
In computer science, evolutionary computation is a family of algorithms for global optimization inspired by biological evolution, and the subfield of artificial intelligence and soft computing studying these algorithms. In technical terms, they are a family of population-based trial and error problem solvers with a metaheuristic or stochastic optimization character.
在计算机科学中，<font color="#ff8000"> 演化计算 Evolutionary computation</font>是一个受生物进化启发的全局优化算法家族，人工智能和软计算的子领域研究这些算法。用技术术语来讲，它们是一个基于种群'''反复试验trial and error''' 并具有亚启发式或随机优化性质的问题解决算法族。