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» Heuristic Methods for Solving Job-Shop Scheduling Problems
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122
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GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 7 months ago
Multi-step environment learning classifier systems applied to hyper-heuristics
Heuristic Algorithms (HA) are very widely used to tackle practical problems in operations research. They are simple, easy to understand and inspire confidence. Many of these HAs a...
Javier G. Marín-Blázquez, Sonia Schu...
123
Voted
GECCO
2005
Springer
148views Optimization» more  GECCO 2005»
15 years 9 months ago
An analysis of island models in evolutionary computation
A need for solving more and more complex problems drives the Evolutionary Computation community towards advanced models of Evolutionary Algorithms. One such model is the island mo...
Zbigniew Skolicki
118
Voted
IPPS
2000
IEEE
15 years 8 months ago
A Parallel Co-evolutionary Metaheuristic
In order to show that the parallel co-evolution of di erent heuristic methods may lead to an e cient search strategy, we have hybridized three heuristic agents of complementary beh...
Vincent Bachelet, El-Ghazali Talbi
115
Voted
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 9 months ago
A parallel framework for loopy belief propagation
There are many innovative proposals introduced in the literature under the evolutionary computation field, from which estimation of distribution algorithms (EDAs) is one of them....
Alexander Mendiburu, Roberto Santana, Jose Antonio...
141
Voted
EUROCRYPT
2012
Springer
13 years 5 months ago
Improving the Complexity of Index Calculus Algorithms in Elliptic Curves over Binary Fields
Abstract. The goal of this paper is to further study the index calculus method that was first introduced by Semaev for solving the ECDLP and later developed by Gaudry and Diem. In...
Jean-Charles Faugère, Ludovic Perret, Chris...