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ICPR
2010
IEEE
14 years 11 months ago
Efficient Polygonal Approximation of Digital Curves via Monte Carlo Optimization
A novel stochastic searching scheme based on the Monte Carlo optimization is presented for polygonal approximation (PA) problem. We propose to combine the split-and-merge based lo...
Xiuzhuang Zhou, Yao Lu
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 5 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
CEC
2010
IEEE
15 years 2 months ago
Elitist Artificial Bee Colony for constrained real-parameter optimization
Abstract-- A novel algorithm to solve constrained realparameter optimization problems, based on the Artificial Bee Colony algorithm is introduced in this paper. The operators used ...
Efrén Mezura-Montes, Ramiro Ernesto Velez-K...
GECCO
2004
Springer
15 years 6 months ago
A Caching Genetic Algorithm for Spectral Breakpoint Matching
Abstract. Two methods were evaluated for performing spectral breakpoint matching: a multi-level pruned exhaustive search and a genetic algorithm. The GA found matches about as good...
Jonathan Mohr, Xiaobo Li
ISSS
1996
IEEE
129views Hardware» more  ISSS 1996»
15 years 5 months ago
Hardware/Software Partitioning with Iterative Improvement Heuristics
The paper presents two heuristics for hardware/software partitioning of system level specifications. The main objective is to achieve performance optimization with a limited hardw...
Petru Eles, Zebo Peng, Krzysztof Kuchcinski, Alex ...