Agent-based Optimization

This Volume Presents A Collection Of Original Research Works By Leading Specialists Focusing On Novel And Promising Approaches In Which The Multi-agent System Paradigm Is To Support, Enhance Or Replace Traditional Approaches To Solving Difficult Optimization Problems. The Editors Have Invited Several Well-known Specialists To Present Their Solutions, Tools, And Models Falling Under The Common Denominator Of The Agent-based Optimization. The Book Consists Of Eight Chapters Covering Examples Of Application Of The Multi-agent Paradigm And Respective Customized Tools To Solve Difficult Optimization Problems Arising In Different Areas Such As Machine Learning, Scheduling, Transportation And, More Generally, Distributed And Cooperative Problem Solving.