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» Optimal Difference Operator Selection
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146
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CEC
2009
IEEE
15 years 10 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
140
Voted
EUROGP
2007
Springer
164views Optimization» more  EUROGP 2007»
15 years 9 months ago
The Induction of Finite Transducers Using Genetic Programming
This paper reports on the results of a preliminary study conducted to evaluate genetic programming (GP) as a means of evolving finite state transducers. A genetic programming syste...
Amashini Naidoo, Nelishia Pillay
117
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GECCO
2005
Springer
109views Optimization» more  GECCO 2005»
15 years 9 months ago
A hybrid evolutionary algorithm for the p-median problem
A hybrid evolutionary algorithm (EA) for the p-median problem consist of two stages, each of which is a steady-state hybrid EA. These EAs encode selections of medians as subsets o...
István Borgulya
GECCO
2004
Springer
15 years 9 months ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
127
Voted
CEC
2003
IEEE
15 years 9 months ago
Digital circuit design through simulated evolution (SimE)
In this paper, the use of Simulated Evolution (SimE) Algorithm in the design of digital logic circuits is proposed. SimE algorithm consists of three steps: evaluation, selection an...
Sadiq M. Sait, Mostafa Abd-El-Barr, Uthman S. Al-S...