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91
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GECCO
2005
Springer
117views Optimization» more  GECCO 2005»
15 years 6 months ago
Directional self-learning of genetic algorithm
In order to overcome the low convergence speed and prematurity of classical genetic algorithm, an improved method named directional self-learning of genetic algorithm (DSLGA) is p...
Lin Cong, Yuheng Sha, Licheng Jiao, Fang Liu
105
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COR
2007
143views more  COR 2007»
15 years 13 days ago
A memetic algorithm for channel assignment in wireless FDMA systems
A new problem encoding is devised for the minimum span frequency assignment problem in wireless communications networks which is compact and general. Using the new encoding, which...
Sung-Soo Kim, Alice E. Smith, Jong-Hyun Lee
131
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CEC
2011
IEEE
14 years 13 days ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
109
Voted
JCST
2008
134views more  JCST 2008»
15 years 13 days ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
Xiaomin Hu, Jun Zhang, Yun Li
94
Voted
CEC
2009
IEEE
15 years 7 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...