This paper propose an entropy - based Pareto evolutionary algorithm ( EPEA ) for multi - objective optimization.
提出了一种求解 多目标 优化问题的基于相对熵的 Pareto 解演化算法,首先分析了多目标优化中各目标间的补偿模式和非补偿模式,以及它们对应的Pareto解演化算法和经典加权求和算法.
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An improved SPEA , which is a multiobjective evolutionary algorithm be pointed out.
提出了改进的SPEA, 这是一种多目标进化算法.
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A multiobjective shortest path evolutionary algorithm is presented for acyclic directed graph.
提出一种无圈有向图条件下的多目标最短路径进化算法.
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Ant colony algorithm ACA is a novel bionic evolutionary algorithm.
蚁群算法是一种新颖的仿生进化算法.
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The MINLP model is more suitable for use with an evolutionary algorithm.
此广义的MINLP模式更适合执行进化计算.
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The ant colony algorithm is a novel simulated evolutionary algorithm which shows many good properties.
蚁群算法是一种模拟进化算法,初步的研究表明该算法具有许多优良的性质.
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It transforms the inverse problem of parameter identification into solution of optimization problem using evolutionary algorithm.
该方法把参数识别反问题转化为优化问题用演化方法求解.
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Evolutionary algorithm mainly include Genetic Algorithms ( GAs ) , Evolution Strategies and Evolutionary Programming ( EP ).
进化算法主要包括 遗传 算法 、 进化策略和进化规划.
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At present, many scholars have done many research works in the aspect of cooperative co - evolutionary algorithm.
目前国内外不少的学者已经在共同进化算法方面作了许多的研究工作.
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A new Multi objective Evolutionary Algorithm ( MOEA ) --- Steady Elimination Evolutionary Algo rithmwaspresented.
提出一种新的多目标演化算法:稳态淘汰演化算法(SteadyEliminationEvolutionaryAlgorithm).
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By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
利用免疫进化算法, 提出了一种新的模糊控制器优化设计方法.
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Multi - objective evolutionary algorithm ( MOEA ) is a method that can optimize multiple objectives effectively and parellelly.
多目标 遗传算法是一种能够同时高效、并行地优化多个目标函数的优化算法.
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A novel multiuser detection method based on the Genetic annealing evolutionary algorithm is proposed CDMA system.
本文在此基础上,提出了一种新的码分多址多用户检测算法——基于遗传退火进化算法的多用户检测.
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A measurement for stepwise diversity evaluation of solutions in multi - objective evolutionary algorithm was proposed.
提出了一种 多目标 进化算法中解集分布度逐步评价方法.
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