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» Evolutionary Algorithms for the Satisfiability Problem
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122
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EMO
2006
Springer
87views Optimization» more  EMO 2006»
15 years 7 months ago
Symbolic Archive Representation for a Fast Nondominance Test
Abstract. Archives are used in Multi-Objective Evolutionary Algorithms to establish elitism. Depending on the optimization problem, an unconstrained archive may grow to an immense ...
Martin Lukasiewycz, Michael Glaß, Christian ...
135
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 7 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
134
Voted
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 10 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
122
Voted
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
15 years 10 months ago
Self-adaptive simulated binary crossover for real-parameter optimization
Simulated binary crossover (SBX) is a real-parameter recombination operator which is commonly used in the evolutionary algorithm (EA) literature. The operator involves a parameter...
Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe
137
Voted
ENC
2005
IEEE
15 years 9 months ago
Saving Evaluations in Differential Evolution for Constrained Optimization
Generally, evolutionary algorithms require a large number of evaluations of the objective function in order to obtain a good solution. This paper presents a simple approach to sav...
Efrén Mezura-Montes, Carlos A. Coello Coell...