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» Hybrid Genetic Algorithms: A Review
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98
Voted
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
15 years 1 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 5 months ago
Circuit Bipartitioning Using Genetic Algorithm
Abstract. In this paper, we propose a hybrid genetic algorithm for partitioning a VLSI circuit graph into two disjoint graphs of minimum cut size. The algorithm includes a local op...
Jong-Pil Kim, Byung Ro Moon
101
Voted
CGO
2005
IEEE
15 years 6 months ago
Optimizing Sorting with Genetic Algorithms
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...
Xiaoming Li, María Jesús Garzar&aacu...
94
Voted
FLAIRS
2006
15 years 1 months ago
Fuzzy Model Optimization Using Genetic Algorithm for Aircraft Engine Diagnosis
An accurate and up-to-date diagnostic model is critical for economic aircraft engine operation. However, for many commercial airline fleets, monitoring and diagnosing engine fault...
LiJie Yu, Daniel J. Cleary, Mark D. Osborn, Vrinda...
GECCO
2003
Springer
201views Optimization» more  GECCO 2003»
15 years 5 months ago
Solving Mastermind Using Genetic Algorithms
The MasterMind game involves decoding a secret code. The classic game is a code of six possible colors in four slots. The game has been analyzed and optimal strategies have been po...
Tom Kalisker, Doug Camens