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112
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GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 9 months ago
A multi-objective genetic algorithm for robust design optimization
Real-world multi-objective engineering design optimization problems often have parameters with uncontrollable variations. The aim of solving such problems is to obtain solutions t...
Mian Li, Shapour Azarm, Vikrant Aute
113
Voted
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 9 months ago
Multiobjective VLSI cell placement using distributed genetic algorithm
Genetic Algorithms have worked fairly well for the VLSI cell placement problem, albeit with significant run times. Two parallel models for GA are presented for VLSI cell placemen...
Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Mi...
148
Voted
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 9 months ago
The blob code is competitive with edge-sets in genetic algorithms for the minimum routing cost spanning tree problem
Among the many codings of spanning trees for evolutionary search are those based on bijections between Pr¨ufer strings—strings of n−2 vertex labels—and spanning trees on th...
Bryant A. Julstrom
81
Voted
ICCS
2004
Springer
15 years 9 months ago
The Genetic Algorithms Population Pluglet for the H2O Metacomputing System
Abstract. This paper describes GAPP – a framework for the execution of distributed genetic algorithms (GAs) using the H2O metacomputing environment. GAs may be a viable solution ...
Tomasz Ampula, Dawid Kurzyniec, Vaidy S. Sunderam,...
112
Voted
LSGRID
2004
Springer
15 years 9 months ago
Mega Process Genetic Algorithm Using Grid MP
In this study, a new Genetic Algorithm (GA) using the Tabu · Local Search mechanism is proposed. The GA described in this paper is considered a Mega Process GA, which has an effe...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki,...