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GECCO
2003
Springer
15 years 2 months ago
A Kernighan-Lin Local Improvement Heuristic That Solves Some Hard Problems in Genetic Algorithms
We present a Kernighan-Lin style local improvement heuristic for genetic algorithms. We analyze the run-time cost of the heuristic. We demonstrate through experiments that the heur...
William A. Greene
IPPS
2010
IEEE
14 years 7 months ago
Large neighborhood local search optimization on graphics processing units
Local search (LS) algorithms are among the most powerful techniques for solving computationally hard problems in combinatorial optimization. These algorithms could be viewed as &q...
Thé Van Luong, Nouredine Melab, El-Ghazali ...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba
ISQED
2006
IEEE
118views Hardware» more  ISQED 2006»
15 years 3 months ago
Localized On-Chip Power Delivery Network Optimization via Sequence of Linear Programming
— In this paper, we propose an efficient algorithm to reduce the voltage noises for on-chip power/ground (P/G) networks of VLSI. The new method is based on the sequence of linea...
Jeffrey Fan, I-Fan Liao, Sheldon X.-D. Tan, Yici C...
PR
2006
164views more  PR 2006»
14 years 9 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung