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• W1557492073 abstract "This paper presents an improved particle swarm optimization (IPSO) to solve constrained optimization problems, which handles constraints based on certain feasibility-based rules. A turbulence operator is incorporated into IPSO algorithm to overcome the premature convergence. At the same time, a set called FPS is proposed to save those P best locating in the feasible region. Different from the standard PSO, g best in IPSO is chosen from the FPS instead of the swarm. Furthermore, the mutation operation is applied to the P best with the maximal constraint violation value in the swarm, which can guide particles to close the feasible region quickly. The performance of IPSO algorithm is tested on a well-known benchmark suite and the experimental results show that the proposed approach is highly competitive, effective and efficient." @default.
• W1557492073 created "2016-06-24" @default.
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• W1557492073 date "2009-01-01" @default.
• W1557492073 modified "2023-09-26" @default.
• W1557492073 title "An Improved Particle Swarm Optimization with Feasibility-Based Rules for Constrained Optimization Problems" @default.
• W1557492073 cites W1587078255 @default.
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• W1557492073 doi "https://doi.org/10.1007/978-3-642-02568-6_21" @default.
• W1557492073 hasPublicationYear "2009" @default.
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