Abstract—In this paper, we propose a visualization method for the distribution of population in Multi-Objective Genetic Algorithm (MOGA) based on island model. In the proposed method, each island is regarded as a cluster, then, searching solutions belonging to each island are projected together onto a two-dimensional space formed by the axes acquired by Multiple Discriminant Analysis (MDA). The visualization result enables us to grasp the distribution of population in each island and the relationship of evolution among them. This paper investigates the effects of migration in island model with the influence to each island through the experiment by a benchmark function and effective migration can be done through the visualization result. I
Population subdivision complicates analysis of molecular variation. Even if neutrality is assumed, t...
In evolutionary computation approaches such as genetic programming (GP), preventing premature conver...
International audienceDynamic island models are population-based algorithms for solving optimization...
Abstract. We present an island model that uses different representations in each island. The model t...
A multi-agent system is divided into groups forming sub-populations of agents. These groups of agent...
A need for solving more and more complex problems drives the Evolutionary Computation community towa...
Abstract. Island Model parallel genetic algorithms rely on various mi-gration models and their assoc...
A multi-population genetic algorithm (MPGA) is introduced to search for as many as possible of the l...
Copyright © 2015 ACM. This is the accepted, peer-reviewed version of the work. It is posted here for...
Abstract. This work presents a dynamic island model framework for helping the resolution of combinat...
Division of the evolutionary search among multiple multi-objective evolutionary algorithms (MOEAs) i...
A set of multi-population genetic algorithm (MPGA) operators, including mutation, crossover, and mig...
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based ...
Abstract. This work presents a dynamic island model framework for helping the resolution of combinat...
s to solve for an "island" niching model are the selection of individuals for migration an...
Population subdivision complicates analysis of molecular variation. Even if neutrality is assumed, t...
In evolutionary computation approaches such as genetic programming (GP), preventing premature conver...
International audienceDynamic island models are population-based algorithms for solving optimization...
Abstract. We present an island model that uses different representations in each island. The model t...
A multi-agent system is divided into groups forming sub-populations of agents. These groups of agent...
A need for solving more and more complex problems drives the Evolutionary Computation community towa...
Abstract. Island Model parallel genetic algorithms rely on various mi-gration models and their assoc...
A multi-population genetic algorithm (MPGA) is introduced to search for as many as possible of the l...
Copyright © 2015 ACM. This is the accepted, peer-reviewed version of the work. It is posted here for...
Abstract. This work presents a dynamic island model framework for helping the resolution of combinat...
Division of the evolutionary search among multiple multi-objective evolutionary algorithms (MOEAs) i...
A set of multi-population genetic algorithm (MPGA) operators, including mutation, crossover, and mig...
Biogeography-based optimization (BBO) is a new population-based evolutionary algorithm and is based ...
Abstract. This work presents a dynamic island model framework for helping the resolution of combinat...
s to solve for an "island" niching model are the selection of individuals for migration an...
Population subdivision complicates analysis of molecular variation. Even if neutrality is assumed, t...
In evolutionary computation approaches such as genetic programming (GP), preventing premature conver...
International audienceDynamic island models are population-based algorithms for solving optimization...