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An integrated algorithm based on artificial bee colony and particle swarm optimization

机译:一种基于人工蜂殖民地的集成算法和粒子群优化

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摘要

Based on particle swarm optimization (PSO) and artificial bee colony (ABC), a novel hybrid swarm intelligent algorithm is developed in this paper. Two information exchanging processes are introduced to share valuable information mutually between particle swarm and bee colony. Numerical results show that the proposed method is effective and performs better than both PSO and ABC.
机译:基于粒子群优化(PSO)和人造蜂菌落(ABC),本文开发了一种新型混合群智能算法。引入了两个信息交换过程以共同在粒子群和蜜蜂殖民地之间共享有价值的信息。数值结果表明,所提出的方法是有效的,而且比PSO和ABC更好。

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