Improved catfish particle swarm optimization with fuzzy adaptation

Catfish particle swarm optimization (CatfishPSO) algorithm is a novel swarm intelligence optimization, which inspired by the behavior between sardines and catfish, i.e. the so-called catfish effect is applied to improve the performance of particle swarm optimization (PSO). In this paper, we propose...

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Main Authors: Li-Yeh Chuang, Sheng-Wei Tsai, Cheng-Hong Yang
Format: Conference Proceeding
Language:English
Subjects:
Chaos
Control systems
Equations
Fuzzy control
Fuzzy logic
Fuzzy systems
Heuristic algorithms
Inference algorithms
Iterative algorithms
Particle swarm optimization
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Sheng-Wei Tsai
Cheng-Hong Yang
description Catfish particle swarm optimization (CatfishPSO) algorithm is a novel swarm intelligence optimization, which inspired by the behavior between sardines and catfish, i.e. the so-called catfish effect is applied to improve the performance of particle swarm optimization (PSO). In this paper, we propose an improved CatfishPSO with fuzzy adaptive (F-CatfishPSO), which a fuzzy system is implemented to dynamically adapt the inertia weight of the CatfishPSO. In the conducted experiments, we adapt the inertia weight to strengthen the solution quality of PSO and CatfishPSO via fuzzy system. Six benchmark functions with unimodal and multimodal different trait are selected as the test functions. The experimental results indicate that the performance of the F-CatfishPSO is better than methods from the literature by statistical analysis.
doi_str_mv 10.1109/FUZZY.2009.5277287
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subjects Chaos
Control systems
Equations
Fuzzy control
Fuzzy logic
Fuzzy systems
Heuristic algorithms
Inference algorithms
Iterative algorithms
Particle swarm optimization
title Improved catfish particle swarm optimization with fuzzy adaptation
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