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Dynamic-objective particle swarm optimization for constrained optimization problems

Author

Listed:
  • Haiyan Lu

    (Zhejiang University
    Southern Yangtze University)

  • Weiqi Chen

    (Southern Yangtze University
    China Ship Scientific Research Center)

Abstract

This paper firstly presents a novel constraint-handling technique, called dynamic-objective method (DOM), based on the search mechanism of the particles of particle swarm optimization (PSO). DOM converts the constrained optimization problem into a bi-objective optimization problem, and then enables each particle to dynamically adjust its objectives according to its current position in the search space. Neither Pareto ranking nor user-defined parameters are involved in DOM. Secondly, a new PSO-based algorithm—restricted velocity PSO (RVPSO)—is proposed to specialize in solving constrained optimization problems. The performances of DOM and RVPSO are evaluated on 13 well-known benchmark functions, and comparisons with some other PSO algorithms are carried out. Experimental results show that DOM is remarkably efficient and effective, and RVPSO enhanced with DOM exhibits greater performance. In addition, besides the commonly used measures, we use histogram of the test results to evaluate the performance of the algorithms.

Suggested Citation

  • Haiyan Lu & Weiqi Chen, 2006. "Dynamic-objective particle swarm optimization for constrained optimization problems," Journal of Combinatorial Optimization, Springer, vol. 12(4), pages 409-419, December.
    • Handle: RePEc:spr:jcomop:v:12:y:2006:i:4:d:10.1007_s10878-006-9004-x
    DOI: 10.1007/s10878-006-9004-x
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    Cited by:

    1. Hao Liu & Yue Wang & Liangping Tu & Guiyan Ding & Yuhan Hu, 2019. "A modified particle swarm optimization for large-scale numerical optimizations and engineering design problems," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2407-2433, August.
    2. Gloria Milena Vargas Gil & Lucas Lima Rodrigues & Roberto S. Inomoto & Alfeu J. Sguarezi & Renato Machado Monaro, 2019. "Weighted-PSO Applied to Tune Sliding Mode Plus PI Controller Applied to a Boost Converter in a PV System," Energies, MDPI, vol. 12(5), pages 1-18, March.

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