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GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
15 years 11 months ago
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO
We consider the Bounded Diameter Minimum Spanning Tree problem and describe four neighbourhood searches for it. They are used as local improvement strategies within a variable nei...
Martin Gruber, Jano I. van Hemert, Günther R....
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 11 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
GECCO
2006
Springer
156views Optimization» more  GECCO 2006»
15 years 11 months ago
A computational efficient covariance matrix update and a (1+1)-CMA for evolution strategies
First, the covariance matrix adaptation (CMA) with rankone update is introduced into the (1+1)-evolution strategy. An improved implementation of the 1/5-th success rule is propose...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 11 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
15 years 11 months ago
Combining simplex with niche-based evolutionary computation for job-shop scheduling
We propose a hybrid algorithm (called ALPINE) between Genetic Algorithm and Dantzig's Simplex method to approximate optimal solutions for the Flexible Job-Shop Problem. Local...
Syhlin Kuah, Joc Cing Tay
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