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91
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CEC
2007
IEEE
15 years 4 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
100
Voted
EPS
1998
Springer
15 years 2 months ago
Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length Representations
This paper discusses a simple representation of variable-dimensional optimization problems for evolutionary algorithms. Although it was successfully applied to the optimization of ...
Joachim Sprave, Susanne Rolf
71
Voted
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 1 months ago
On the local performance of simulated annealing and the (1+1) evolutionary algorithm
Simulated annealing and the (1+1) EA, a simple evolutionary algorithm, are both general randomized search heuristics that optimize any objective function with probability
Thomas Jansen, Ingo Wegener
GECCO
2007
Springer
169views Optimization» more  GECCO 2007»
15 years 4 months ago
An evolutionary platform for developing next-generation electronic circuits
In this paper, a new method for evolving simple electronic circuits is discussed, with the aim of improving the reliability and performance of basic circuit blocks. Next-generatio...
James A. Hilder, Andy M. Tyrrell
87
Voted
HAIS
2009
Springer
15 years 2 months ago
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ranked...
Radha Thangaraj, Millie Pant, Ajith Abraham, Youak...