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SOCO
2010
Springer
15 years 4 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
EVOW
2007
Springer
16 years 9 days ago
An Adaptive Global-Local Memetic Algorithm to Discover Resources in P2P Networks
This paper proposes a neural network based approach for solving the resource discovery problem in Peer to Peer (P2P) networks and an Adaptive Global Local Memetic Algorithm (AGLMA)...
Ferrante Neri, Niko Kotilainen, Mikko Vapa
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 11 months ago
Greedy, genetic, and greedy genetic algorithms for the quadratic knapsack problem
Augmenting an evolutionary algorithm with knowledge of its target problem can yield a more effective algorithm, as this presentation illustrates. The Quadratic Knapsack Problem e...
Bryant A. Julstrom
174
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GECCO
2004
Springer
15 years 11 months ago
Real-Coded Bayesian Optimization Algorithm: Bringing the Strength of BOA into the Continuous World
This paper describes a continuous estimation of distribution algorithm (EDA) to solve decomposable, real-valued optimization problems quickly, accurately, and reliably. This is the...
Chang Wook Ahn, Rudrapatna S. Ramakrishna, David E...
CEC
2009
IEEE
15 years 11 months ago
A cooperative coevolutionary algorithm with Correlation based Adaptive Variable Partitioning
—A cooperative coevolutionary algorithm (CCEA) is an extension to an evolutionary algorithm (EA); it employs a divide and conquer strategy to solve an optimization problem. In it...
Tapabrata Ray, Xin Yao