Learning and Intelligent Optimization Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers /

• Corporate Author: SpringerLink (Online service)
• Other Authors: St<U+00fc>tzle, Thomas. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Lecture Notes in Computer Science, 5851
• Subjects: Computer science.; Software engineering.; Data mining.; Information storage and retrieval systems.; Artificial intelligence.; Computer Science.; Models and Principles.; Artificial Intelligence (incl. Robotics).; Special Purpose and Application-Based Systems.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-11169-3

 This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Learning and Intelligent Optimization, LION 2009 III, held in Trento, Italy, in January 2009. The 15 revised full papers, one extended abstract and two poster sessions were carefully reviewed and selected from 86 submissions for inclusion in the book. The papers cover current issues of stochastic local search methods and meta-heuristics, hybridizations of constraint and mathematical programming with meta-heuristics, supervised, unsupervised and reinforcement learning applied to heuristic search, reactive search (online self-tuning methods), algorithm portfolios and off-line tuning methods, algorithms for dynamic, stochastic and multi-objective problems, interface(s) between discrete and continuous optimization, experimental analysis and modeling of algorithms, theoretical foundations, parallelization of optimization algorithms, memory-based optimization, prohibition-based methods (tabu search), memetic algorithms, evolutionary algorithms, dynamic local search, iterated local search, variable neighborhood search and swarm intelligence methods (ant colony optimization, particle swarm optimization etc.).