Multiobjective Harmony Search Algorithm Proposals

  • Authors:
  • Juan Ricart;Germán Hüttemann;Joaquín Lima;Benjamín Barán

  • Affiliations:
  • Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay;Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay;Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay;Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo, Paraguay

  • Venue:
  • Electronic Notes in Theoretical Computer Science (ENTCS)
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Harmony Search metaheuristic is successfully used in several applications of science and engineering. However, its effectiveness in solving multiobjective optimization problems using the concepts of Pareto optimality, remains unproved. This paper presents two proposals of the Harmony Search metaheuristic for multiobjective optimization, using the ZDT functions as a test bed. Performance metrics for experimental results show that the proposals are competitive even when compared to NSGA-II evolutionary algorithm.