Multi-objective optimization approach based on Minimum Population Search algorithm

Darian Reyes Fernandez de Bulnes (), Antonio Bolufe Rohler () and Dania Tamayo Vera ()
Additional contact information
Darian Reyes Fernandez de Bulnes: Instituto Tecnologico de Tijuana, Mexico
Antonio Bolufe Rohler: University of Prince Edward Island, Canada
Dania Tamayo Vera: Thinking Big Inc., Canada

Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), 2019, vol. 7, issue 2, 1-19

Abstract: Minimum Population Search is a recently developed metaheuristic for optimization of mono- objective continuous problems, which has proven to be a very effective optimizing large scale and multi-modal problems. One of its key characteristic is the ability to perform an efficient exploration of large dimensional spaces. We assume that this feature may prove useful when optimizing multi objective problems, thus this paper presents a study of how it can be adapted to a multi-objective approach. We performed experiments and comparisons with five multi-objective selection processes and we test the effectiveness of Thresheld Convergence on this class of problems. Following this analysis we suggest a Multi-objective variant of the algorithm. The proposed algorithm is compared with multi-objective evolutionary algorithms IBEA, NSGA2 and SPEA2 on several well-known test problems. Subsequently, we present two hybrid approaches with the IBEA and NSGA-II, these hybrids allow to further improve the achieved result.

Keywords: Evolutionary Algorithm; Minimum Population Search; Thresheld Convergence; Multi-objective Optimization (search for similar items in EconPapers)
JEL-codes: D8 D81 M1 M15 O3 O31 O32 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rge:journl:v:7:y:2019:i:2:p:1-19

Access Statistics for this article

Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC) is currently edited by Dr. Luis Camilo Ortigueira Sánchez

More articles in Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC) from Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC)
Bibliographic data for series maintained by Dr. Luis Camilo Ortigueira Sánchez ().