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particle swarm optimization algorithm

Exemplos para "particle swarm optimization algorithm"

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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。
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
A Simpler and More Effective Particle Swarm Optimization Algorithm
一种更简化而高效的粒子群优化算法
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。
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。

Outros resultados

This paper presents a new polygonal approximation approach based on the particle swarm optimization (PSO) algorithm.
本文提出了一种新的基于粒子群优化算法（PSO）的多边形近似方法。
It be used in disassembly sequence planning process which is a hybrid optimization algorithm, the particle swarm-simulated annealing optimization algorithm(PSO-SA).
本文将基于模拟退火的粒子群优化算法这一混合优化算法应用于拆卸序列规划求解问题。
To solve the problem in air-to-air missile control parameter design, an automatic control parameter optimization technique is discussed based on particle swarm optimization (PSO) algorithm.
研究了将粒子群算法（PSO）应用于空对空导弹控制参数自动设计的方法，解决导弹控制参数手工设计中遇到的困难与问题。
A new chaotic particle swarm optimization (CPSO) algorithm is proposed to solve the complicated economic load dispatch (ELD) problems of power system.
提出一种新的混沌粒子群优化（CPSO）算法，将其用于求解复杂的电力系统经济负荷分配（ELD）问题。
In order to design effective software defect prediction model, this paper proposes an approach combining Particle Swarm Optimization(PSO) algorithm and Naive Bayes(NB).
为了设计高效的软件缺陷预测模型，提出一种将粒子群优化算法与朴素贝叶斯（NB）相结合的方法。
Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid Quantum Evolutionary Algorithms(QEA) based on combining QEA with Particle Swarm Optimization(PSO).
文章将量子进化算法（QEA）和粒子群算法（PSO）互相结合，提出了两种混合量子进化算法。
This paper proposes a novel clustering routing algorithm based on Adaptive Particle Swarm Optimization APSO.
提出一种新的基于自适应粒子群优化的分簇路由算法。
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。
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