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106
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JSW
2006
76views more  JSW 2006»
15 years 18 days ago
Variable Neighbourhood Search for Job Shop Scheduling Problems
Variable Neighbourhood Search (VNS) is one of the most recent metaheuristics used for problem solving in which a systematic change of neighbourhood within a local search is carried...
Mehmet Sevkli, Mehmet Emin Aydin
106
Voted
GECCO
2003
Springer
15 years 5 months ago
Quad Search and Hybrid Genetic Algorithms
A bit climber using a Gray encoding is guaranteed to converge to a global optimum in fewer than ¢¤£¦¥¨§© evaluations on unimodal 1-D functions and on multi-dimensional sph...
L. Darrell Whitley, Deon Garrett, Jean-Paul Watson
ICDM
2009
IEEE
134views Data Mining» more  ICDM 2009»
14 years 10 months ago
Efficient Discovery of Confounders in Large Data Sets
Given a large transaction database, association analysis is concerned with efficiently finding strongly related objects. Unlike traditional associate analysis, where relationships ...
Wenjun Zhou, Hui Xiong
110
Voted
ANOR
2011
117views more  ANOR 2011»
14 years 4 months ago
A simple and effective algorithm for the MaxMin diversity problem
The challenge of maximizing the diversity of a collection of points arises in a variety of settings, including the setting of search methods for hard optimization problems. One ver...
Daniel Cosmin Porumbel, Jin-Kao Hao, Fred Glover
115
Voted
LION
2007
Springer
192views Optimization» more  LION 2007»
15 years 6 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