Learning and Intelligent Optimization: 5th International Conference, LION 5, Rome, Italy, January 17-21, 2011, Selected Papers
Carlos A. Coello-Coello
Springer Science & Business Media, Dec 15, 2011 - Computers - 636 pages
This book constitutes the thoroughly refereed post-conference proceedings of the 5th International Conference on Learning and Intelligent Optimization, LION 5, held in Rome, Italy, in January 2011. The 32 revised regular and 3 revised short papers were carefully reviewed and selected from a total of 99 submissions. In addition to the contributions to the general track there are 11 full papers and 3 short papers presented at the following four special sessions; IMON: Intelligent Multiobjective OptimizatioN, LION-PP: Performance Prediction Self* EAs: Self-tuning, self-configuring and self-generating evolutionary algorithms LION-SWAP: Software and Applications.
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adaptive algorithm conﬁguration analysis applied approach approximation average bin packing problem classiﬁer cluster combinatorial conﬁguration constraints convergence correlation CPLEX crossover deﬁned deﬁnition dispatching rules distribution efficient set evolutionary algorithms Evolutionary Computation experimental experiments ﬁnd ﬁnding ﬁrst ﬁtness value ﬁxed framework genetic algorithm global optimization hamming distance Heidelberg heuristic hybrid hyper-heuristics IEEE implementation improve initial input iterations keystream learning LNCS local search machine meta-algorithmic metaheuristics method MOEA multi-start multiobjective Multiobjective Optimization mutation neighborhood neutral NSGA-II number of objectives objective function obtained operator optimization problems optimum ParamILS Pareto front partitions performance population problem instance procedure programming proposed random runs satisﬁability scenarios scheduling search algorithms search space selection sequence signiﬁcant simulated simulated annealing solver solving SPEA2 speciﬁc Springer statistical strategy stream ciphers structure Table tabu search target algorithm techniques tion variables vectors