Agent-Based Optimization (Studies in Computational Intelligence, 456)

<P>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 USED 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 <I>AGENT-BASED OPTIMIZATION</I>. 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. </P>