Title
Refined ranking relations for selection of solutions in multi objective metaheuristics.
Abstract
•Ranking methods for solutions of multi objective optimization problems are proposed.•Both methods are refinements of the Pareto dominance relation.•The methods help metaheuristics to select good solutions.•Desirable properties for applications are shown theoretically.•We report experimental results for PACO and GA for multi objective flow shop problem.
Year
DOI
Venue
2015
10.1016/j.ejor.2014.10.044
European Journal of Operational Research
Keywords
Field
DocType
Multi objective optimization,Ranking relations,Ant colony optimization,Genetic algorithms,Flow shop scheduling problem
Ant colony optimization algorithms,Population,Mathematical optimization,Ranking,Flow shop scheduling,Multi-objective optimization,Pareto principle,Mathematics,Genetic algorithm,Metaheuristic
Journal
Volume
Issue
ISSN
243
2
0377-2217
Citations 
PageRank 
References 
3
0.39
32
Authors
5
Name
Order
Citations
PageRank
Ruby L. V. Moritz130.39
Enrico Reich271.46
Maik Schwarz330.73
Matthias Bernt47711.06
Martin Middendorf51334161.45