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首页> 外文期刊>International journal of computing science and mathematics >Using Watts-Strogatz particle swarm optimisation to solve direct orbits of chaotic systems
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Using Watts-Strogatz particle swarm optimisation to solve direct orbits of chaotic systems

机译:使用Watts-Strogatz粒子群算法求解混沌系统的直接轨道

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摘要

Watts-Strogatz particle swarm optimisation (WSPSO) is a new variant of particle swarm optimisation by employing small-world topology. In this variant, the topology of each particle is changed dynamically according to Watts-Strogatz rules within the whole evolutionary process. In this paper, WSPSO is employed to solve the directing orbits of chaotic systems, simulation results show this new variant increases the performance significantly when compared with other three variants of particle swarm optimisation.
机译:Watts-Strogatz粒子群优化(WSPSO)是采用小世界拓扑的粒子群优化的新变体。在此变体中,每个粒子的拓扑在整个进化过程中根据Watts-Strogatz规则动态变化。本文采用WSPSO求解混沌系统的定向轨道,仿真结果表明,与粒子群优化的其他三个变体相比,该新变体显着提高了性能。

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