A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization

DOI10.1080/10556788.2015.1055562zbMath1381.90100OpenAlexW2200678059MaRDI QIDQ2811490

Nadia Smairi, Khaled Ghédira, Patrick Siarry

Publication date: 10 June 2016

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2015.1055562

zbMATH Keywords

multi-objective optimizationtabu searchparticle swarm optimizationtribes

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29) Approximation methods and heuristics in mathematical programming (90C59)

Uses Software

• MOPSO
• SMPSO

Cites Work

• Recent approaches to global optimization problems through particle Swarm optimization
• Tabu search applied to global optimization
• A survey and annotated bibliography of multiobjective combinatorial optimization
• Particle Swarm Optimization
• Evolutionary Multi-Criterion Optimization
• Evolutionary Multi-Criterion Optimization

This page was built for publication: A hybrid particle swarm approach based on Tribes and tabu search for multi-objective optimization