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CORR
2011
Springer
145views Education» more  CORR 2011»
13 years 2 months ago
Global Search Based on Efficient Diagonal Partitions and a set of Lipschitz Constants
In the paper, the global optimization problem of a multidimensional “black-box” function satisfying the Lipschitz condition over a hyperinterval with an unknown Lipschitz const...
Yaroslav D. Sergeyev, Dmitri E. Kvasov
HM
2005
Springer
98views Optimization» more  HM 2005»
14 years 1 months ago
A Hybrid GRASP with Data Mining for the Maximum Diversity Problem
Abstract. The maximum diversity problem (MDP) consists in identifying, in a population, a subset of elements, characterized by a set of attributes, that present the most diverse ch...
L. F. Santos, Marcos Henrique Ribeiro, Alexandre P...
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
PPL
2010
117views more  PPL 2010»
13 years 2 months ago
Neighborhood Structures for GPU-Based Local Search Algorithms
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 ...
LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 1 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto