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Improving vector evaluated particle swarm optimisation using multiple nondominated leaders.

Kian Sheng Lim1, Salinda Buyamin1, Anita Ahmad1

  • 1Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

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|June 3, 2014
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Summary
This summary is machine-generated.

The improved vector evaluated particle swarm optimisation (VEPSO) algorithm uses multiple nondominated leaders to enhance solutions for multiobjective optimisation problems. This approach achieves better convergence and distribution over the Pareto front compared to previous methods.

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Area of Science:

  • Computational intelligence
  • Optimization algorithms
  • Multiobjective optimization

Background:

  • Previous vector evaluated particle swarm optimisation (VEPSO) improved multiobjective problem-solving but lacked Pareto front convergence and even distribution.
  • Existing VEPSO methods struggle to find solutions close to and spread evenly across the Pareto front.

Purpose of the Study:

  • To enhance the vector evaluated particle swarm optimisation (VEPSO) algorithm by incorporating multiple nondominated leaders.
  • To improve the convergence and distribution of solutions on the Pareto front for multiobjective optimisation problems.

Main Methods:

  • Incorporation of multiple nondominated leaders into the VEPSO algorithm.
  • Utilizing multiple nondominated solutions, each optimal for a respective objective, to guide particle search.
  • Evaluation using metrics such as the number of nondominated solutions, generational distance, spread, and hypervolume.

Main Results:

  • The proposed VEPSO algorithm demonstrated significant improvements over existing VEPSO methods.
  • Enhanced convergence towards the Pareto front.
  • Improved distribution of solutions across the Pareto front.

Conclusions:

  • The integration of multiple nondominated leaders effectively enhances VEPSO performance in multiobjective optimisation.
  • The revised VEPSO algorithm offers superior solutions with better convergence and distribution properties.