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116
Voted
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 7 months ago
A fast hybrid genetic algorithm for the quadratic assignment problem
Genetic algorithms (GAs) have recently become very popular by solving combinatorial optimization problems. In this paper, we propose an extension of the hybrid genetic algorithm f...
Alfonsas Misevicius
149
Voted
GECCO
2007
Springer
326views Optimization» more  GECCO 2007»
15 years 9 months ago
Binary differential evolution for the unit commitment problem
The Unit Commitment Problem (UCP) is the task of finding an optimal turn on and turn off schedule for a group of power generation units over a given time horizon to minimize ope...
Ali Keles
118
Voted
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 9 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
124
Voted
AAAI
1998
15 years 5 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
136
Voted
HICSS
2005
IEEE
110views Biometrics» more  HICSS 2005»
15 years 9 months ago
A Trust-based Negotiation Mechanism for Decentralized Economic Scheduling
Abstract— This paper presents a decentralized negotiation protocol for cooperative economic scheduling in a supply chain environment. For this purpose we designed autonomous agen...
Tim Stockheim, Oliver Wendt, Michael Schwind