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ICAI
2003
14 years 11 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 3 months ago
Entropy and Memory Constrained Vector Quantization with Separability Based Feature Selection
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
Sangho Yoon, Robert M. Gray
95
Voted
COMCOM
1998
106views more  COMCOM 1998»
14 years 9 months ago
Algorithms for delay-constrained low-cost multicast tree construction
With the proliferation of multimedia group applications, the construction of multicast trees satisfying Quality of Service QoS requirements is becoming a problem of prime import...
R. Sriram, Govindarasu Manimaran, C. Siva Ram Murt...
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 1 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
ICICIC
2006
IEEE
15 years 3 months ago
An Ant Colony Optimization Algorithm for Multiple Travelling Salesman Problem
Multiple travelling salesman problem (MTSP) is a typical computationally complex combinatorial optimization problem,which is an extension of the famous travelling salesman problem...
Pan Junjie, Wang Dingwei