| Description |
1 online resource |
| Series |
Lecture notes in computer science, 0302-9743 ; 7219 |
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Lecture notes in computer science ; 7219.
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| Contents |
880-01 Iterative-Deepening Search with On-Line Tree Size Prediction / Ethan Burns and Wheeler Ruml -- A Learning Optimization Algorithm in Graph Theory / Versatile Search for Extremal Graphs Using a Learning Algorithm / Gilles Caporossi and Pierre Hansen -- A Math-Heuristic Dantzig-Wolfe Algorithm for the Capacitated Lot Sizing Problem / Marco Caserta and Stefan Voß -- Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows / Tristan Cazenave and Fabien Teytaud -- Parallel Algorithm Configuration / Frank Hutter, Holger H. Hoos and Kevin Leyton-Brown -- Community Detection in Social and Biological Networks Using Differential Evolution / Guanbo Jia, Zixing Cai, Mirco Musolesi, Yong Wang and Dan A. Tennant, et al. -- A Study on Large Population MOEA Using Adaptive [epsilon]-Box Dominance and Neighborhood Recombination for Many-Objective Optimization / Naoya Kowatari, Akira Oyama, Hernán E. Aguirre and Kiyoshi Tanaka |
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880-01/(S Iterative-Deepening Search with On-Line Tree Size Prediction -- A Learning Optimization Algorithm in Graph Theory: Versatile Search for Extremal Graphs Using a Learning Algorithm -- A Math-Heuristic Dantzig-Wolfe Algorithm for the Capacitated Lot Sizing Problem -- Application of the Nested Rollout Policy Adaptation Algorithm to the Traveling Salesman Problem with Time Windows -- Parallel Algorithm Configuration -- Community Detection in Social and Biological Networks Using Differential Evolution -- A Study on Large Population MOEA Using Adaptive ε-Box Dominance and Neighborhood Recombination for Many -- Objective Optimization -- A Non-adaptive Stochastic Local Search Algorithm High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games -- Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling -- Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data -- Quantifying Homogeneity of Instance Sets for Algorithm Configuration -- Automatically Configuring Algorithms for Scaling Performance -- Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper -- Influence of the Migration Period in Parallel Distributed Gas for Dynamic Optimization -- A Hyper-Heuristic Inspired by Pearl Hunting -- Five Phase and Genetic Hive Hyper-Heuristics for the Cross-Domain Search -- Implicit Model Selection Based on Variable Transformations in Estimation of Distribution -- Improving the Exploration in Upper Confidence Trees -- Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem -- Evaluation of a Family of Reinforcement Learning Cross-Domain Optimization Heuristics.-Effect of SMS-EMOA Parameterizations on Hypervolume Decreases. -- Effects of Speciation on Evolution of Neural Networks in Highly Dynamic Environments -- Natural Max-SAT Encoding of Min-SAT. A New Hyperheuristic Algorithm for Cross-Domain Search Problems -- Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm -- Global Optimization for Algebraic Geometry -- Clause Sharing in Parallel MaxSAT -- An Intelligent Hyper-Heuristic Framework for CHeSC 2011 |
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A Non-adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition / Franco Mascia and Thomas Stützle -- Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness / Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann and Markus Wagner, et al. -- Evaluating Tree-Decomposition Based Algorithms for Answer Set Programming / Michael Morak, Nysret Musliu, Reinhard Pichler, Stefan Rümmele and Stefan Woltran -- High-Dimensional Model-Based Optimization Based on Noisy Evaluations of Computer Games / Mike Preuss, Tobias Wagner and David Ginsbourger -- Pilot, Rollout and Monte Carlo Tree Search Methods for Job Shop Scheduling / Thomas Philip Runarsson, Marc Schoenauer and Michèle Sebag -- Minimizing Time When Applying Bootstrap to Contingency Tables Analysis of Genome-Wide Data / Francesco Sambo and Barbara Di Camillo -- Quantifying Homogeneity of Instance Sets for Algorithm Configuration / Marius Schneider and Holger H. Hoos |
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Automatically Configuring Algorithms for Scaling Performance / James Styles, Holger H. Hoos and Martin Müller -- Upper Confidence Tree-Based Consistent Reactive Planning Application to MineSweeper / Michèle Sebag and Olivier Teytaud -- Bounding the Effectiveness of Hypervolume-Based ([mu]+[lambda])-Archiving Algorithms / Tamara Ulrich and Lothar Thiele -- Optimization by l1-Constrained Markov Fitness Modelling / Gabriele Valentini, Luigi Malagò and Matteo Matteucci -- Vehicle Routing and Adaptive Iterated Local Search within the HyFlex Hyper-heuristic Framework / James D. Walker, Gabriela Ochoa, Michel Gendreau and Edmund K. Burke -- Quasi-elementary Landscapes and Superpositions of Elementary Landscapes / Darrell Whitley and Francisco Chicano -- Fast Permutation Learning / Tony Wauters, Katja Verbeeck, Patrick De Causmaecker and Greet Vanden Berghe -- Parameter-Optimized Simulated Annealing for Application Mapping on Networks-on-Chip / Bo Yang, Liang Guang, Tero Säntti and Juha Plosila -- Learning Algorithm Portfolios for Parallel Execution / Xi Yun and Susan L. Epstein |
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Bayesian Optimization Using Sequential Monte Carlo / Romain Benassi, Julien Bect and Emmanuel Vazquez -- Influence of the Migration Period in Parallel Distributed GAs for Dynamic Optimization / Yesnier Bravo, Gabriel Luque and Enrique Alba -- A Hyper-Heuristic Inspired by Pearl Hunting / C.Y. Chan, Fan Xue, W.H. Ip and C.F. Cheung -- Five Phase and Genetic Hive Hyper-Heuristics for the Cross-Domain Search / Tomasz Cichowicz, Maciej Drozdowski, Michał Frankiewicz, Grzegorz Pawlak and Filip Rytwiński, et al. -- Implicit Model Selection Based on Variable Transformations in Estimation of Distribution / Emanuele Corsano, Davide Cucci, Luigi Malagò and Matteo Matteucci -- Improving the Exploration in Upper Confidence Trees / Adrien Couëtoux, Hassen Doghmen and Olivier Teytaud -- Parallel GPU Implementation of Iterated Local Search for the Travelling Salesman Problem / Audrey Delévacq, Pierre Delisle and Michaël Krajecki -- Constraint-Based Local Search for the Costas Array Problem / Daniel Diaz, Florian Richoux, Philippe Codognet, Yves Caniou and Salvador Abreu |
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Evaluation of a Family of Reinforcement Learning Cross-Domain Optimization Heuristics / Luca Di Gaspero and Tommaso Urli -- Autonomous Local Search Algorithms with Island Representation / Adrien Goëffon and Frédéric Lardeux -- An Approach to Instantly Use Single-Objective Results for Multi-objective Evolutionary Combinatorial Optimization / Christian Grimme and Joachim Lepping -- Lower Bounds and Upper Bounds for MaxSAT / Federico Heras, Antonio Morgado and Joao Marques-Silva -- Determining the Characteristic of Difficult Job Shop Scheduling Instances for a Heuristic Solution Method / Helga Ingimundardottir and Thomas Philip Runarsson -- Expected Improvements for the Asynchronous Parallel Global Optimization of Expensive Functions: Potentials and Challenges / Janis Janusevskis, Rodolphe Le Riche, David Ginsbourger and Ramunas Girdziusas -- Effect of SMS-EMOA Parameterizations on Hypervolume Decreases / Leonard Judt, Olaf Mersmann and Boris Naujoks -- Effects of Speciation on Evolution of Neural Networks in Highly Dynamic Environments / Peter Krčah |
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Natural Max-SAT Encoding of Min-SAT / Adrian Kügel -- A New Hyperheuristic Algorithm for Cross-Domain Search Problems / Andreas Lehrbaum and Nysret Musliu -- Brain Cine-MRI Sequences Registration Using B-Spline Free-Form Deformations and MLSDO Dynamic Optimization Algorithm / Julien Lepagnot, Amir Nakib, Hamouche Oulhadj and Patrick Siarry -- Global Optimization for Algebraic Geometry -- Computing Runge-Kutta Methods / Ivan Martino and Giuseppe Nicosia -- Clause Sharing in Parallel MaxSAT / Ruben Martins, Vasco Manquinho and Inês Lynce -- An Intelligent Hyper-Heuristic Framework for CHeSC 2011 / Mustafa Mısır, Katja Verbeeck, Patrick De Causmaecker and Greet Vanden Berghe -- An Efficient Meta-heuristic Based on Self-control Dominance Concept for a Bi-objective Re-entrant Scheduling Problem with Outsourcing / Atefeh Moghaddam, Farouk Yalaoui and Lionel Amodeo |
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A Tree Search Approach to Sparse Coding / Rui Rei, João P. Pedroso, Hideitsu Hino and Noboru Murata -- Adaptive Control of the Number of Crossed Genes in Many-Objective Evolutionary Optimization / Hiroyuki Sato, Carlos A. Coello Coello, Hernán E. Aguirre and Kiyoshi Tanaka -- Counter Implication Restart for Parallel SAT Solvers / Tomohiro Sonobe and Mary Inaba -- Learning the Neighborhood with the Linkage Tree Genetic Algorithm / Dirk Thierens and Peter A.N. Bosman -- A Comparison of Operator Utility Measures for On-Line Operator Selection in Local Search / Nadarajen Veerapen, Jorge Maturana and Frédéric Saubion -- Monte Carlo Methods for Preference Learning / Paolo Viappiani -- Hybridizing Reactive Tabu Search with Simulated Annealing / Stefan Voß and Andreas Fink |
| Summary |
This book constitutes the thoroughly refereed post-conference proceedings of the 6th International Conference on Learning and Intelligent Optimization, LION 6, held in Paris, France, in January 2012. The 23 long and 30 short revised papers were carefully reviewed and selected from a total of 99 submissions. The papers focus on the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems. In addition to the paper contributions the conference also included 3 invited speakers, who presented forefront research results and frontiers, and 3 tutorial talks, which were crucial in bringing together the different components of LION community |
| Analysis |
Computer science |
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Computer software |
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Electronic data processing |
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Computational complexity |
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Artificial intelligence |
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Algorithm Analysis and Problem Complexity |
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Numeric Computing |
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Computation by Abstract Devices |
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Discrete Mathematics in Computer Science |
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Computer Applications |
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computerwetenschappen |
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computer sciences |
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computertechnieken |
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computer techniques |
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numerieke methoden |
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numerical methods |
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wiskunde |
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mathematics |
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algoritmen |
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algorithms |
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computeranalyse |
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computer analysis |
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kunstmatige intelligentie |
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computational science |
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Information and Communication Technology (General) |
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Informatie- en communicatietechnologie (algemeen) |
| Bibliography |
Includes bibliographical references and author index |
| Subject |
Machine learning -- Congresses
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Computer algorithms -- Congresses
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Informatique.
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Computer algorithms
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Machine learning
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| Genre/Form |
Conference papers and proceedings
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Software.
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| Form |
Electronic book
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| Author |
Hamadi, Youssef (Computer science researcher)
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|
Schoenauer, Marc.
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| ISBN |
9783642344138 |
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3642344135 |
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3642344127 |
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9783642344121 |
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