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GECCO
2004
Springer
112views Optimization» more  GECCO 2004»
15 years 9 months ago
Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization
This paper discusses the implementation of local search in evolutionary multiobjective optimization (EMO) algorithms for the design of a simple but powerful memetic EMO algorithm. ...
Hisao Ishibuchi, Kaname Narukawa
ENC
2003
IEEE
15 years 9 months ago
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
Efrén Mezura-Montes, Carlos A. Coello Coell...
CEC
2009
IEEE
15 years 11 months ago
The importance of search space dimensionality in a computational model of embryogeny
— This paper investigates the role of genotypic search space dimensionality on the behaviour and characteristics of a computational model of embryogeny. By varying genome length,...
Chris P. Bowers
ECAL
2005
Springer
15 years 9 months ago
Simulating Evolution with a Computational Model of Embryogeny: Obtaining Robustness from Evolved Individuals
Abstract. An evolutionary system is presented which employs an embryogeny model to evolve phenotypes in the form of layout of cells in specific patterns and shapes. It is shown th...
Chris P. Bowers
CEC
2010
IEEE
15 years 5 months ago
A novel memetic algorithm for constrained optimization
In this paper, we present a memetic algorithm with novel local optimizer hybridization strategy for constrained optimization. The developed MA consists of multiple cycles. In each ...
Jianyong Sun, Jonathan M. Garibaldi