@MastersThesis{Barroca:2019:NeAdEv,
author = "Barroca, Eric Demetrius de Castro",
title = "A new adaptive evolutionary algorithm for design optimization",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2019",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2019-05-20",
keywords = "Generalized extremal optimization, adaptive evolutionary
algorithms, design optimization, space engineering,
multidisciplinary optimization, otimiza{\c{c}}{\~a}o extrema
generalizada, algoritmos evolutivos adaptativos,
otimiza{\c{c}}{\~a}o de projetos, engenharia espacial,
otimiza{\c{c}}{\~a}o multidisciplinar.",
abstract = "In this work a new adaptive evolutionary algorithm derived from a
stochastic algorithm for design optimization called Generalized
Extremal Optimization (GEO) is introduced. It eliminates the
single free parameter of GEO by controlling its value during the
search by an adaptive approach which improved GEO performance
significantly, even when considering the best GEO configurations.
Nonetheless, it maintains the algorithm principal characteristics
of dealing with continuous, discrete and integer design variables
on convex or disjoint spaces while respecting design constrains.
This new algorithm, called Adaptive Generalized Extremal
Optimization (A-GEO), is implemented in two variations and applied
to a multidisciplinary optimization problem of spacecraft
engineering, showing the potential of the new methods in solving
real engineering problems. RESUMO: Neste trabalho um novo
algoritmo evolutivo adaptativo derivado de um algoritmo
estoc{\'a}stico para otimiza{\c{c}}{\~a}o de projetos chamado
Generalized Extremal Optimization (GEO) {\'e} introduzido. Este
elimina o {\'u}nico par{\^a}metro livre presente no GEO
atrav{\'e}s de um m{\'e}todo adaptativo que controla os valores
deste durante a busca, assim melhorando a performance do GEO
significantemente, at{\'e} mesmo quando comparada a sua melhor
configura{\c{c}}{\~a}o. Por{\'e}m, mant{\'e}m suas principais
caracter{\'{\i}}sticas de lidar com vari{\'a}veis de projeto
continuas, discretas e inteiras em espa{\c{c}}os convexos ou
disjuntos respeitando as restri{\c{c}}{\~o}es de projeto. Este
novo algoritmo, chamado Adaptive Generalized Extremal Optimization
(A-GEO), {\'e} implementado em duas varia{\c{c}}{\~o}es e
aplicado a um problema de otimiza{\c{c}}{\~a}o multidisciplinar
de engenharia de sat{\'e}lites, mostrando o potencial dos novos
m{\'e}todos em resolver problemas reais de engenharia.",
committee = "Santos, Walter Abrah{\~a}o dos (presidente) and Sousa, Fabiano
Luis de (orientador) and Chagas, Ronan Arraes Jardim (orientador)
and Ramos, Fernando Manuel (orientador) and Galski, Roberto Luiz
and Chaves, Antonio Augusto",
englishtitle = "Um novo algor{\'{\i}}tmo evolut{\'{\i}}vo adaptivo para
otmiza{\c{c}}{\~a}o de projetos",
language = "en",
pages = "103",
ibi = "8JMKD3MGP3W34R/3TAJS9H",
url = "http://urlib.net/ibi/8JMKD3MGP3W34R/3TAJS9H",
targetfile = "publicacao.pdf",
urlaccessdate = "29 mar. 2024"
}