Learning and Intelligent Optimization : 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers / edited by Giuseppe Nicosia, Panos Pardalos.

Format:

Book

Contributor:

Nicosia, Giuseppe, editor.

Pardalos, Panos, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7997.

Theoretical Computer Science and General Issues ; 7997

Language:

English

Subjects (All):

Algorithms.

Numerical analysis.

Artificial intelligence.

Computer science--Mathematics.

Computer science.

Computers.

Algorithm Analysis and Problem Complexity.

Numeric Computing.

Artificial Intelligence.

Discrete Mathematics in Computer Science.

Computation by Abstract Devices.

Local Subjects:

Algorithm Analysis and Problem Complexity.

Numeric Computing.

Artificial Intelligence.

Discrete Mathematics in Computer Science.

Computation by Abstract Devices.

Physical Description:

1 online resource (XV, 470 pages) : 120 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

Summary:

This book constitutes the proceedings of the 7th International Conference on Learning and Optimization, LION 7, which was held in Catania, Italy, in January 2013. The 49 contributions presented in this volume were carefully reviewed and selected from 101 submissions. They explore the intersections and uncharted territories between machine learning, artificial intelligence, mathematical programming and algorithms for hard optimization problems.

Contents:

Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence

Intelligent optimization for the minimum labelling spanning tree problem

A Constraint Satisfaction Approach to Tractable Theory Induction

Features for Exploiting Black-Box Optimization Problem Structure

MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets

Sharing Information in Parallel Search with Search Space Partitioning

Fast Computation of the Multi-points Expected Improvement with Applications in Batch Selection

R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection

A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints

A genetic algorithm approach for the multidimensional two-way number partitioning problem

Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search

Multi-objective optimization for relevant sub-graph extraction

PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection

Neutrality in the Graph Coloring Problem

Kernel multi label vector optimization (kMLVO) - A unified multi-label classification formalism

Robust Benchmark Set Selection for Boolean Constraint Solvers

Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction

A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization

An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games

Resources Optimization in (Video) Games: a Novel Approach to Teach Applied Mathematics

CMF: a combinatorial tool to find composite motifs

Hill-climbing Behaviour on Quantized NK-landscapes

Neighbourhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoners Dilemma Game

A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems

Portfolio with Block Branching for Parallel SAT Solvers

Parameter Setting with Dynamic Island Models

A simulated annealing algorithm for the vehicle routing problem with time windows and synchronization constraints

Solution of the maximum k-balanced subgraph problem

Racing with a Fixed Budget and a Self-Adaptive Significance Level

An efficient best response heuristic for a non-preemptive strictly periodic scheduling problem

Finding an evolutionary solution to the game of Mastermind with good scaling behaviour

A Fast Local Search Approach For Multiobjective problems

Generating Customized Landscapes in Permutation-based Combinatorial Optimization Problems

Multiobjective Evolution of Mixed Nash Equilibria

Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem

From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-shop Problem with Weighted Tardiness

Architecture for Monitoring Learning Processes using Video Games

Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Evolutionary FSM-Based Agents for Playing Super Mario Game

Identifying Key Algorithm Parameters and Instance Features using Forward Selection

Using Racing to Automatically Configure Algorithms for Scaling Performance

Algorithm Selection for the Graph Coloring Problem

Batched Mode Hyper-heuristics

Tuning algorithms for tackling large instances: An experimental protocol

Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem

Practically Desirable Solutions Search on Multi-Objective Optimization

Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures

Effects of Population Size on Selection and Scalability in Evolutionary Many-objective Optimization

A novel feature selection method for classification using a fuzzy criterion.

Other Format:

Printed edition:

ISBN:

978-3-642-44973-4

9783642449734

Access Restriction:

Restricted for use by site license.