Lecture Notes in Computer Science - Learning and Intelligent Optimization
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Published By Springer Berlin Heidelberg

9783642344121, 9783642344138

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Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_36 ◽

2012 ◽

pp. 408-412 ◽

Cited By ~ 2

Author(s):

Helga Ingimundardottir ◽

Thomas Philip Runarsson

Keyword(s):

Solution Method ◽

Job Shop ◽

Job Shop Scheduling ◽

Heuristic Solution ◽

Shop Scheduling

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Bayesian Optimization Using Sequential Monte Carlo

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_24 ◽

2012 ◽

pp. 339-342 ◽

Cited By ~ 2

Author(s):

Romain Benassi ◽

Julien Bect ◽

Emmanuel Vazquez

Keyword(s):

Monte Carlo ◽

Sequential Monte Carlo ◽

Bayesian Optimization

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Automatically Configuring Algorithms for Scaling Performance

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_15 ◽

2012 ◽

pp. 205-219 ◽

Cited By ~ 7

Author(s):

James Styles ◽

Holger H. Hoos ◽

Martin Müller

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Learning the Neighborhood with the Linkage Tree Genetic Algorithm

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_50 ◽

2012 ◽

pp. 491-496

Author(s):

Dirk Thierens ◽

Peter A. N. Bosman

Keyword(s):

Genetic Algorithm

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A New Hyperheuristic Algorithm for Cross-Domain Search Problems

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_41 ◽

2012 ◽

pp. 437-442 ◽

Cited By ~ 1

Author(s):

Andreas Lehrbaum ◽

Nysret Musliu

Keyword(s):

Search Problems ◽

Cross Domain

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Natural Max-SAT Encoding of Min-SAT

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_40 ◽

2012 ◽

pp. 431-436 ◽

Cited By ~ 7

Author(s):

Adrian Kügel

Keyword(s):

Sat Encoding ◽

Max Sat

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Effect of SMS-EMOA Parameterizations on Hypervolume Decreases

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_38 ◽

2012 ◽

pp. 419-424 ◽

Cited By ~ 1

Author(s):

Leonard Judt ◽

Olaf Mersmann ◽

Boris Naujoks

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Influence of the Migration Period in Parallel Distributed GAs for Dynamic Optimization

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_25 ◽

2012 ◽

pp. 343-348 ◽

Cited By ~ 1

Author(s):

Yesnier Bravo ◽

Gabriel Luque ◽

Enrique Alba

Keyword(s):

Dynamic Optimization ◽

Migration Period

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Fast Permutation Learning

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_21 ◽

2012 ◽

pp. 292-306 ◽

Cited By ~ 3

Author(s):

Tony Wauters ◽

Katja Verbeeck ◽

Patrick De Causmaecker ◽

Greet Vanden Berghe

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Optimization by ℓ1-Constrained Markov Fitness Modelling

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-34413-8_18 ◽

2012 ◽

pp. 250-264 ◽

Cited By ~ 2

Author(s):

Gabriele Valentini ◽

Luigi Malagò ◽

Matteo Matteucci

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Lecture Notes in Computer Science - Learning and Intelligent OptimizationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method

Bayesian Optimization Using Sequential Monte Carlo

Automatically Configuring Algorithms for Scaling Performance

Learning the Neighborhood with the Linkage Tree Genetic Algorithm

A New Hyperheuristic Algorithm for Cross-Domain Search Problems

Natural Max-SAT Encoding of Min-SAT

Effect of SMS-EMOA Parameterizations on Hypervolume Decreases

Influence of the Migration Period in Parallel Distributed GAs for Dynamic Optimization

Fast Permutation Learning

Optimization by ℓ1-Constrained Markov Fitness Modelling

Lecture Notes in Computer Science - Learning and Intelligent Optimization
Latest Publications