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swarm optimization

Vertaling van "swarm optimization" in Chinees

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群优化
群算法
微粒群优化
PID controller design in servo system based on particle swarm optimization
基于粒子群优化的PID伺服控制器设计
Framework of Particle Swarm Optimization Based Pairwise Testing
一种基于粒子群优化的成对组合测试算法框架
An advanced particle swarm optimization algorithm is presented to enhance the local searching ability.
提出一种改进粒子群局部搜索能力的优化算法。
The results have shown the effectiveness of particle swarm optimization for flexible job shop scheduling.
结果表明粒子群算法在柔性工作车间调度问题的应用上是十分有效的。
Multi-objective model of tolerance design and its solution with particle swarm optimization algorithm
公差设计多目标模型及其粒子群优化算法研究
Particle swarm optimization based on rotate surface transformation
基于旋转曲面变换的粒子群优化方法
A hybrid algorithm is proposed based on binary particle swarm optimization and local search method.
对所建立的模型,提出了基于二进制粒子群优化与局部搜索的混合求解算法。
英文关键词:evolutionary computation swarm intelligence particle swarm optimization disturbed extremum
中文关键词: 进化计算 群体智能 粒子群优化 极值扰动
A kind of particle swarm optimization method with the characteristic of logical time-sequenced is proposed and applied to procedure parameters optimization of semiconductor assembly product line.
摘要提出一种具有逻辑时序特征的微粒群优化算法,并将其应用于半导体封装生产线的工序参数优化中。
Basing on particle swarm optimization, this paper gives the algorithm on coalition formation and the sub-task allocation in the agent-based distributed measurement system.
根据粒子群优化算法的基本原理,提出基于粒子群优化算法的智能体测试系统联盟形成以及测试子任务优化分配算法。
Then make use of the chaos optimization algorithm and particle swarm optimization algorithm to get the global solution of the bilevel nonlinear programming.
本文首先改进和完善了近年提出的现代优化算法 - 混沌优化算法,之后利用混沌优化算法和粒子群优化算法求解二层非线性规划问题。
Computational results show that particle swarm optimization is superior compared with the exact center-of-gravity method, and prove the effectiveness and efficiency of the proposed algorithm.
实例求解结果表明,该算法求解选址问题的性能优于精确重心法,具有良好的搜索性能和实用性。
Aimed at the 0-knapsack problems, the article proposes a kind of hybrid intelligence algorithm combining with the adjusting strategy, the greedy algorithm and the binary particle swarm optimization algorithm.
摘要针对0-1背包问题,提出一种具有修复策略的、贪心算法与二进制粒子群算法相结合的混合智能算法。
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