Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/100869
Author(s): Carlos Conceição António
Title: Selfish Gene theory and Memetic Algorithms: A fusion of concepts for robust design of hybrid composites
Issue Date: 2012
Abstract: The genetic and cultural evolutionary symbiosis of Memetic Algorithms (MAs) has been materialized into the form of a hybridglobal-local approach improving both exploration and exploitation properties of search. Instead of local search as performed in MAs,the selfish gene algorithm (SGA) follows a different learning scheme where the conventional population of individuals is replaced bya virtual population of alleles. In this paper a fusion of concepts proposed by MA and SGA is implemented. The proposed approachis a mixed model applying multiple learning procedures aiming to explore the synergy of different cultural transmission rules into theevolutionary process. The principal aspects of approach are: co-evolution of multiple populations, species conservation, migrationrules, self-adaptive multiple crossovers, local search in hybrid crossover with local genetic improvements, controlled mutation,individual age control and features-based alleles statistics analysis. Most of these aspects are associated with some kind of problemknowledge and learning from evolution classified as Lamarckian or Baldwinian. In the proposed approach all individuals generatedbelong inherently to an enlarged population with age structure. Assuming that the age structured population is the virtual population(VP) continuous statistical parameters of alleles population are updating at each generation. Thus, most promising alleles areselected for genes. Then, generation of new individuals following SG theory is based on a pseudo-crossover scheme with changedmating selection and offspring generation mechanisms influenced by best alleles in age-structured VP. Aiming to discuss thecapabilities of the proposed approach to deal with robust design optimization of hybrid composite structures a numerical example ispresented.
Subject: Ciências Tecnológicas, Outras ciências da engenharia e tecnologias
Technological sciences, Other engineering and technologies
Scientific areas: Ciências da engenharia e tecnologias::Outras ciências da engenharia e tecnologias
Engineering and technology::Other engineering and technologies
URI: https://repositorio-aberto.up.pt/handle/10216/100869
Source: EngOpt 2012 - 3rd International Conference on Engineering Optimization
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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