Please use this identifier to cite or link to this item:
https://hdl.handle.net/10216/94485
Author(s): | Carlos Alberto Conceição António |
Title: | Self-adaptation in genetic algorithms applied to structural optimization |
Issue Date: | 2008 |
Abstract: | It is recognized that Genetic Algorithms efficiency improves clearly if some adaptive rules are included. In the present work,adaptive properties in Genetic Algorithms applied to structural optimization are studied. Here, adaptive rules perform usingadditional information related with the behavior of state and design variables of the structural problem. At each generation the selfadaptationof genetic parameters to evolutionary conditions aims to improve the efficiency of genetic search. The introduction ofadaptive rules occurs at three levels: (i) when defining the search domain at each generation; (ii) considering a crossover operatorbased on commonality and local improvements; and (iii) by controlling mutation including behavioral data.Self-adaptation has proved to be highly beneficial in automatically and dynamically adjusting evolutionary parameters. Numericalexamples showing these benefits are presented. |
Subject: | Engenharia Engineering |
URI: | https://repositorio-aberto.up.pt/handle/10216/94485 |
Source: | EngOpt 2008 - 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 |
Files in This Item:
File | Description | Size | Format | |
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57965.pdf Restricted Access | Self-adaptation in genetic algorithms applied to structural optimization, artigo em CD | 311.72 kB | Adobe PDF | Request a copy from the Author(s) |
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