Hibridização de algoritmos genéticos e sistemas imunológicos artificiais para problemas de otimizacão com restricões em engenharia / HYBRIDIZATION OF GENETIC ALGORITHMS AND ARTIFICIAL IMMUNE SYSTEMS FOR CONSTRAINED OPTIMIZATION PROBLEMS IN ENGINEERING

AUTOR(ES)
DATA DE PUBLICAÇÃO

2008

RESUMO

In this work some possibilities of hibridization of genetic algorithms and artificial immune systems are proposed, computationally implemented, and tested in order to solve constrained optimization problems. Such problems arise frequently in the computational modeling of relevant scientific and technological problems. After a brief formulation and solution characterization for a constrained optimization problem in Rn, an introduction is made to structural modeling and the optimization problems in this area, showing their relevance and the diculties arising in the development of approximate solution methods. Several bio-inspired meta-heuristics for solving such optimization problems are then presented with emphasis on genetic algorithms (GAs) and artificial immune systems (AISs). Some possible GA-SIA hybrids are then proposed. In order to assess the performance of the proposed procedures, computational experiments are conducted considering several test-problems from the literature and,finally, conclusions as well as future work proposals are presented

ASSUNTO(S)

otimização-matemática meta-heurística computabilidade e modelos de computacao algoritmo genético

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