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

9783642344121, 9783642344138
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scholarly journals Bayesian Optimization Using Sequential Monte Carlo

2012 ◽  
pp. 339-342 ◽  
Author(s):  
Romain Benassi ◽  
Julien Bect ◽  
Emmanuel Vazquez
Keyword(s):  
Monte Carlo ◽  
Sequential Monte Carlo ◽  
Bayesian Optimization

scholarly journals Automatically Configuring Algorithms for Scaling Performance

2012 ◽  
pp. 205-219 ◽  
Author(s):  
James Styles ◽  
Holger H. Hoos ◽  
Martin Müller

Learning the Neighborhood with the Linkage Tree Genetic Algorithm

2012 ◽  
pp. 491-496
Author(s):  
Dirk Thierens ◽  
Peter A. N. Bosman
Keyword(s):  
Genetic Algorithm

A New Hyperheuristic Algorithm for Cross-Domain Search Problems

2012 ◽  
pp. 437-442 ◽  
Author(s):  
Andreas Lehrbaum ◽  
Nysret Musliu
Keyword(s):  
Search Problems ◽  
Cross Domain

Natural Max-SAT Encoding of Min-SAT

2012 ◽  
pp. 431-436 ◽  
Author(s):  
Adrian Kügel
Keyword(s):  
Sat Encoding ◽  
Max Sat

Effect of SMS-EMOA Parameterizations on Hypervolume Decreases

2012 ◽  
pp. 419-424 ◽  
Author(s):  
Leonard Judt ◽  
Olaf Mersmann ◽  
Boris Naujoks

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

2012 ◽  
pp. 343-348 ◽  
Author(s):  
Yesnier Bravo ◽  
Gabriel Luque ◽  
Enrique Alba
Keyword(s):  
Dynamic Optimization ◽  
Migration Period

Fast Permutation Learning

2012 ◽  
pp. 292-306 ◽  
Author(s):  
Tony Wauters ◽  
Katja Verbeeck ◽  
Patrick De Causmaecker ◽  
Greet Vanden Berghe

Optimization by ℓ1-Constrained Markov Fitness Modelling

2012 ◽  
pp. 250-264 ◽  
Author(s):  
Gabriele Valentini ◽  
Luigi Malagò ◽  
Matteo Matteucci
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