Particle swarm optimization (PSO) is one of those algorithm and attracts extra attention. In this paper, we put forward a new model to explore the step length ...
Abstract—There has been a growing interest in studying of random search strategies. In many industries including manufacturing, logistics, computer etc., ...
A new model is put forward to explore the step length of search process of PSO, via statistics methods, and the relationship between the values of scaling ...
LF creates a search pattern with many small steps and exceptionally long jumps. 5. Proposed approaches. The motivation for the study is improvements obtained ...
Being used Levy flight, a more efficient search takes place in the search space thanks to the long jumps to be made by the particles. In the proposed method, a ...
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First, a novel PSO based on Lévy flight and orthogonal learning with enhanced exploitation ability and faster search efficiency is proposed. The jumping ability ...
Levy flight is a random search path that follows the Levy distribution between short-distance and occasional long-distance walking[5]. It has better global ...
All these strategies in resource allocation are fulfilled by Levy Flight adopted Particle Swarm Optimization (LF-PSO). Finally, the evaluation is performed to ...
Jan 6, 2023 · In this section, we briefly introduce the basic framework of PSO, Levy flight, Wavelet Mutation, and some basic concepts. Particle swarm ...
This algorithm is based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour of some birds and fruit ...