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» Solving Hierarchical Optimization Problems Using MOEAs
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ICC
2007
IEEE
120views Communications» more  ICC 2007»
15 years 9 months ago
Joint Power and Constellation Size Adaptation for Mobile Multicast Employing MQAM Over Wireless Fading Channels
Abstract— We propose a power and constellation-size adaptation scheme for the multicast system employing multilevel quadrature amplitude modulation (MQAM) with discrete constella...
Qinghe Du, Xi Zhang
CEC
2007
IEEE
15 years 9 months ago
Target shape design optimization by evolving splines
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Th...
KBS
2006
87views more  KBS 2006»
15 years 3 months ago
Predictive and comprehensible rule discovery using a multi-objective genetic algorithm
We present a multi-objective genetic algorithm for mining highly predictive and comprehensible classification rules from large databases. We emphasize predictive accuracy and comp...
Satchidananda Dehuri, Rajib Mall
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Differential evolution and non-separability: using selective pressure to focus search
Recent results show that the Differential Evolution algorithm has significant difficulty on functions that are not linearly separable. On such functions, the algorithm must rely...
Andrew M. Sutton, Monte Lunacek, L. Darrell Whitle...
GECCO
2003
Springer
117views Optimization» more  GECCO 2003»
15 years 8 months ago
Improving Evolvability of Genetic Parallel Programming Using Dynamic Sample Weighting
Abstract. This paper investigates the sample weighting effect on Genetic Parallel Programming (GPP) that evolves parallel programs to solve the training samples captured directly f...
Sin Man Cheang, Kin-Hong Lee, Kwong-Sak Leung