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CEC
2005
IEEE
14 years 2 months ago
Adaptive cluster covering and evolutionary approach: comparison, differences and similarities
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...
Dimitri P. Solomatine
GECCO
2004
Springer
14 years 2 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg
CODES
2001
IEEE
14 years 25 days ago
Hybrid global/local search strategies for dynamic voltage scaling in embedded multiprocessors
In this paper, we explore a hybrid global/local search optimization framework for dynamic voltage scaling in embedded multiprocessor systems. The problem is to find, for a multipr...
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...
COMPSAC
2004
IEEE
14 years 28 days ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
CCS
2007
ACM
14 years 3 months ago
Optimal security hardening using multi-objective optimization on attack tree models of networks
Researchers have previously looked into the problem of determining if a given set of security hardening measures can effectively make a networked system secure. Many of them also...
Rinku Dewri, Nayot Poolsappasit, Indrajit Ray, Dar...