Optimisation par essaim particulaire : adaptation de tribes à l'optimisation multiobjectif. (Particle swarm optimization : adaptation of tribes to the multiobjective optimization)

L'optimisation par essaim particulaire

A Unified Model for Evolutionary Multiobjective Optimization and its Implementation in a General Purpose Software Framework: ParadisEO-MOEO

This paper gives a concise overview of evolutionary algorithms for multiobjective optimization. A substantial number of evolutionary computation methods for multiobjective problem solving has been proposed so far, and an attempt of unifying existing approaches is here presented. Based on a fine-grained decomposition and following the main issues of fitness assignment, diversity preservation and...

A Study of the Efficiency of the Hybridization of a Particle Swarm Optimizer and Tabu Search

In this paper, we propose a hybrid Particle Swarm Optimization (PSO) called TS-Tribes which combine Tribes, a PSO algorithm free of parameters and Tabu Search (TS) technique. The main idea behind this hybridization is to combine the high convergence rate of Tribes with a local search technique based on TS. In addition, we study the impact of the place where we apply local search on the performa...

Conception simultanée de systèmes électriques hétérogènes par algorithmes évolutionnaires multicritères. Applications à l'optimisation de chaînes de traction pour véhicules électriques

In this paper, evolutionary algorithms are applied to the multiobjective optimization of a traction system for electrical vehicles. First of all, the concept of integrated design of heterogeneous systems in electrical engineering is defined and analyzed. The optimization problems resulting from this approach are rather complex and evolutionary algorithms seem to be suitable to provide interesti...

Artificial Tribe Algorithm and Its Performance Analysis

In this paper, a novel intelligent optimization algorithm Artificial Tribe Algorithm (ATA) is presented based on the analyses of the principle and uniform framework of the Bionic Intelligent Optimization Algorithms (BIOA). ATA simulates the existent skills of the natural tribes, and actualizes the optimization purpose through the propagation and migration behaviors of the tribes. The main facto...