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Guest editorial: Special issue—revised selected papers of the LION 5 conference

Guest editorial: Special issue—revised selected papers of the LION 5 conference Ann Math Artif Intell (2013) 68:195–196 DOI 10.1007/s10472-013-9386-2 Guest editorial: Special issue—revised selected papers of the LION 5 conference Carlos A. Coello Coello Published online: 12 November 2013 © Springer Science+Business Media Dordrecht 2013 The International Conference on Learning and Intelligent OptimizatioN (LION) has as its goal to explore the intersections between machine learning, artificial intelli- gence, mathematical programming and algorithms for hard optimization problems. The main purpose of this conference is to bring together experts from these disci- plines, in order to discuss new ideas and methods, as well as to identify challenges and opportunities in various application areas, general trends and specific developments. This special issue contains the extended and revised versions of three carefully se- lected papers that were presented at LION 5, which took place in Rome, Italy, during January 17–21, 2011. The first paper, from Sato, Aguirre and Tanaka, presents a study of the effectiveness of crossover and mutation operators in 0/1 knapsack problems having four or more objectives and up to 20 items. The authors show that recombining very dissimilar individuals, without setting a limit to the information being crossed, causes the operator to become too disruptive and, consequently, decreases its effectiveness. In http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Annals of Mathematics and Artificial Intelligence Springer Journals

Guest editorial: Special issue—revised selected papers of the LION 5 conference

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Publisher
Springer Journals
Copyright
Copyright © 2013 by Springer Science+Business Media Dordrecht
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Mathematics, general; Computer Science, general; Statistical Physics, Dynamical Systems and Complexity
ISSN
1012-2443
eISSN
1573-7470
DOI
10.1007/s10472-013-9386-2
Publisher site
See Article on Publisher Site

Abstract

Ann Math Artif Intell (2013) 68:195–196 DOI 10.1007/s10472-013-9386-2 Guest editorial: Special issue—revised selected papers of the LION 5 conference Carlos A. Coello Coello Published online: 12 November 2013 © Springer Science+Business Media Dordrecht 2013 The International Conference on Learning and Intelligent OptimizatioN (LION) has as its goal to explore the intersections between machine learning, artificial intelli- gence, mathematical programming and algorithms for hard optimization problems. The main purpose of this conference is to bring together experts from these disci- plines, in order to discuss new ideas and methods, as well as to identify challenges and opportunities in various application areas, general trends and specific developments. This special issue contains the extended and revised versions of three carefully se- lected papers that were presented at LION 5, which took place in Rome, Italy, during January 17–21, 2011. The first paper, from Sato, Aguirre and Tanaka, presents a study of the effectiveness of crossover and mutation operators in 0/1 knapsack problems having four or more objectives and up to 20 items. The authors show that recombining very dissimilar individuals, without setting a limit to the information being crossed, causes the operator to become too disruptive and, consequently, decreases its effectiveness. In

Journal

Annals of Mathematics and Artificial Intelligence – Springer Journals

Published: Nov 12, 2013

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