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HEURISTICS
2006
197views more  HEURISTICS 2006»
13 years 3 months ago
Bucket elimination for multiobjective optimization problems
Multiobjective optimization deals with problems involving multiple measures of performance that should be optimized simultaneously. In this paper we extend bucket elimination (BE),...
Emma Rollon, Javier Larrosa
EC
2008
175views ECommerce» more  EC 2008»
13 years 3 months ago
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired oper...
Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 4 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
GECCO
2008
Springer
153views Optimization» more  GECCO 2008»
13 years 4 months ago
G-Metric: an M-ary quality indicator for the evaluation of non-dominated sets
An open problem in multiobjective optimization using the Pareto optimality criteria, is how to evaluate the performance of different evolutionary algorithms that solve multi– o...
Giovanni Lizárraga Lizárraga, Arturo...
CEC
2010
IEEE
13 years 4 months ago
The jMetal framework for multi-objective optimization: Design and architecture
Abstract-- jMetal is a Java-based framework for multiobjective optimization using metaheuristics. It is an ease-to-use, flexible, and extensible software package that has been used...
Juan José Durillo, Antonio J. Nebro, Enriqu...
EMO
2006
Springer
161views Optimization» more  EMO 2006»
13 years 7 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
GECCO
2003
Springer
13 years 8 months ago
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
In this paper, we generalize the replacement rules based on the dominance relation in multiobjective optimization. Ordinary two replacement rules based on the dominance relation ar...
Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
13 years 9 months ago
An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm
Many evolutionary algorithms have been lately developed for solving multiobjective problems, appealing or not to the Pareto optimality concept. Although, the evolutionary technique...
Corina Rotar
GECCO
2004
Springer
244views Optimization» more  GECCO 2004»
13 years 9 months ago
Using Clustering Techniques to Improve the Performance of a Multi-objective Particle Swarm Optimizer
In this paper, we present an extension of the heuristic called “particle swarm optimization” (PSO) that is able to deal with multiobjective optimization problems. Our approach ...
Gregorio Toscano Pulido, Carlos A. Coello Coello
GECCO
2004
Springer
13 years 9 months ago
A Philosophical Essay on Life and Its Connections with Genetic Algorithms
This paper makes a number of connections between life and various facets of genetic and evolutionary algorithms research. Specifically, it addresses the topics of adaptation, mult...
Fernando G. Lobo