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» An evolutionary method for complex-process optimization
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GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 1 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
91
Voted
EMO
2006
Springer
144views Optimization» more  EMO 2006»
15 years 4 months ago
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
This paper presents results of extensive computational experiments in which evolutionary multiobjective algorithms were used to find Pareto-optimal solutions to a complex structura...
Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszews...
GECCO
2007
Springer
153views Optimization» more  GECCO 2007»
15 years 6 months ago
Analyzing the effects of module encapsulation on search space bias
Modularity is thought to improve the evolvability of biological systems [18, 22]. Recent studies in the field of evolutionary computation show that the use of modularity improves...
Ozlem O. Garibay, Annie S. Wu
99
Voted
CEC
2010
IEEE
15 years 1 months ago
A parallel framework for multi-objective evolutionary optimization
This work focuses on the development of a parallel framework method to improve the effectiveness and the efficiency of the obtained solutions by Multi-objective Evolutionary Algori...
Dipankar Dasgupta, David Camilo Becerra Romero, Al...
120
Voted
PPSN
1998
Springer
15 years 4 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz