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Swarm Intelligence for Multi-objective Problems in Data Mining

Author: Carlos Artemio Coello Coello; Satchidananda Dehuri; Susmita Ghosh
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series: SpringerLink: Springer e-Books; Studies in Computational Intelligence, 242.
Edition/Format:   Computer file : English : Online-AusgView all editions and formats
Summary:

The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony  Read more...

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Details

Material Type: Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Carlos Artemio Coello Coello; Satchidananda Dehuri; Susmita Ghosh
ISBN: 9783642036255 3642036252 9783642036248 3642036244
OCLC Number: 608859910
Reproduction Notes: Online-Ausg. Berlin [u.a.] Springer, 2009. online-Ressource.
Description: ... S.
Contents: An Introduction to Swarm Intelligence for Multi-objective Problems.- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers.- Multiobjective Particle Swarm Optimization in Classification-Rule Learning.- Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers.- Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization.- A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective.- Rigorous Runtime Analysis of Swarm Intelligence Algorithms - An Overview.- Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach.- The Basic Principles of Metric Indexing.- Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows.- Combining Correlated Data from Multiple Classifiers.
Series Title: SpringerLink: Springer e-Books; Studies in Computational Intelligence, 242.
Responsibility: edited by Carlos Artemio Coello Coello, Satchidananda Dehuri, Susmita Ghosh.

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