• Ant Colony optimization (ACO) is a new-style simulating evolution algorithm. The behavior of real ant colonies foraging for food is simulated and used for solving optimization problems.

    蚁群算法是一种新型的模拟进化算法,它通过模拟蚁群在觅食过程中寻找最短路径的方法来求解优化问题。

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  • A co evolution algorithm used to solve topology and size optimization of trusses is proposed.

    针对桁架拓扑优化问题提出桁架拓扑和尺寸优化的协同演化算法。

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  • Differential evolution algorithm is applied to optimization problem of mechanical design and the basal theory and steps are analysed.

    将差异演化算法应用于机械优化设计问题,具体分析了差异演化算法的基本原理和步骤。

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  • Immune algorithm is a completely new method band together with the principle of life-form evolution, optimization technique and computer technique.

    免疫算法是一种生物进化原理、最优化技术和计算机技术相结合的全新算法。

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  • A mix of Differential Evolution and Particle Swarm Optimization can make a new algorithm.

    差分算法与粒子群算法结合可形成新的算法。

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  • By analyzing the discretized density evolution theory and the differential evolution algorithm, a method is proposed to search optimal irregular LDPC code for joint optimization of the system.

    在分析和阐述了离散概率密度演化理论和多维线性空间极值问题的基础上,给出了适合于该方案的非正则ldpc码的搜索算法和搜索结果。

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  • Then the methods of fuzzy optimization and evolution programming are adopted to study the portfolio investment under a new risk concept, and an algorithm for solving the problem is given.

    运用模糊优化和进化规划方法,研究新风险概念下的模糊证券组合选择,并给出了其相应算法。

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  • The method solves the problems which caused by dynamic planning dealing with multiple constraints and large optimization problems, and improves the precision of evolution algorithm.

    计算表明,该方法避免了动态规划等算法处理多约束、大型优化问题的困难,同时提高了进化算法的精度。

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  • Propagation algorithm is a heuristic based on the principle of biological evolution parallel search and optimization techniques, often used for optimization.

    传算法是一种基于生物进化原理的启发式并行搜索和优化技术,常被用于优化计算。

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  • To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.

    为了提高差分进化算法(DEA)的收敛速度和寻优精度,提出了一种改进的差分进化算法。

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  • To improve the optimum speed and optimization accuracy of Differential Evolution Algorithm (DEA), an improved DEA was proposed.

    为了提高差分进化算法(DEA)的收敛速度和寻优精度,提出了一种改进的差分进化算法。

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