Comparison of multi-objective and single-objective approaches in feasibility enhanced particle swarm optimization


Hasanoglu M. S. , Dolen M.

JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, vol.35, no.2, pp.887-900, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 35 Issue: 2
  • Publication Date: 2020
  • Doi Number: 10.17341/gazimmfd.437579
  • Title of Journal : JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
  • Page Numbers: pp.887-900

Abstract

In this study, solutions for multi-objective constrained problems and their fixed weight linearly aggregated single-objective variants were obtained using the Pareto based multi-objective feasibility enhanced particle swarm optimization and single-objective approaches respectively. Comparisons involving three problems (two of which were highly constrained) revealed that optimizations performed using the multi-objective approach resulted in solutions that were also suitable for all single-objective criteria. With the multi-objective approach, objectives can be weighted after the optimization run and trade-offs can be performed without repeating the run.