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» Computational complexity and evolutionary computation
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CEC
2005
IEEE
15 years 12 months ago
Parallel evolutionary algorithms on graphics processing unit
Evolutionary Algorithms (EAs) are effective and robust methods for solving many practical problems such as feature selection, electrical circuits synthesis, and data mining. Howeve...
Man Leung Wong, Tien-Tsin Wong, Ka-Ling Fok
GECCO
2006
Springer
176views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolutionary interactive music composition
This paper proposes the CFE framework--Composition, Feedback, and Evolution--and presents an interactive music composition system. The system composes short, manageable pieces of ...
Tao-yang Fu, Tsu-yu Wu, Chin-te Chen, Kai-chu Wu, ...
EVOW
2008
Springer
15 years 8 months ago
Architecture Performance Prediction Using Evolutionary Artificial Neural Networks
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
Pedro A. Castillo, Antonio Miguel Mora, Juan Juli&...
PPSN
2010
Springer
15 years 4 months ago
Towards Analyzing Recombination Operators in Evolutionary Search
Recombination (also called crossover) operators are widely used in EAs to generate offspring solutions. Although the usefulness of recombination has been well recognized, theoretic...
Yang Yu, Chao Qian, Zhi-Hua Zhou
ENC
2003
IEEE
15 years 11 months ago
Multiobjective-Based Concepts to Handle Constraints in Evolutionary Algorithms
This paper presents the main multiobjective optimization concepts that have been used in evolutionary algorithms to handle constraints in global optimization problems. A review of...
Efrén Mezura-Montes, Carlos A. Coello Coell...