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Learning and Intelligent Optimization : 6th International Conference, LION 6, Paris, France, January 16-20, 2012, Revised Selected Papers / edited by Youssef Hamadi, Marc Schoenauer.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Hamadi, Youssef (Computer science researcher), editor.
Schoenauer, Marc, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7219.
Theoretical Computer Science and General Issues ; 7219
Language:
English
Subjects (All):
Algorithms.
Artificial intelligence.
Numerical analysis.
Computers.
Computer science--Mathematics.
Computer science.
Application software.
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Numeric Computing.
Computation by Abstract Devices.
Discrete Mathematics in Computer Science.
Computer Applications.
Local Subjects:
Algorithm Analysis and Problem Complexity.
Artificial Intelligence.
Numeric Computing.
Computation by Abstract Devices.
Discrete Mathematics in Computer Science.
Computer Applications.
Physical Description:
1 online resource (XXIV, 514 pages) : 132 illustrations.
Edition:
First edition 2012.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
System Details:
text file PDF
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.
Contents:
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. .
Other Format:
Printed edition:
ISBN:
978-3-642-34413-8
9783642344138
Access Restriction:
Restricted for use by site license.

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