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GECCO
2008
Springer
13 years 10 months ago
2008
Springer
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
CEC
2009
IEEE
14 years 4 months ago
2009
IEEE
Abstract— Tuning the parameters of an evolutionary algorithm (EA) to a given problem at hand is essential for good algorithm performance. Optimizing parameter values is, however,...
IJIT
2004
13 years 10 months ago
2004
Cryptarithmetic problem is an interesting constraint satisfaction problem for which different algorithms have been given. But none of them can solve the problem intelligently using...
CEC
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...
CEC
2009
IEEE
14 years 4 months ago
2009
IEEE
— 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...