Ant Colony Optimization PDF
Preview Ant Colony Optimization
Ant Colony Optimization Julia Pizzo Ant Colony Optimization "This page is Intentionally Left Blank" Ant Colony Optimization Edited by Julia Pizzo Published by College Publishing House, 5 Penn Plaza, 19th Floor, New York, NY 10001, USA Ant Colony Optimization Edited by Julia Pizzo © 2017 College Publishing House International Standard Book Number: 978-1-9789-2082-8 This book contains information obtained from authentic and highly regarded sources. Copy- right for all individual chapters remain with the respective authors as indicated. A wide variety of references are listed. Permission and sources are indicated; for detailed attribu- tions, please refer to the permissions page. Reasonable efforts have been made to publish reliable data and information, but the authors, editors and publisher cannot assume any responsibility for the validity of all materials or the consequences of their use. Copyright of this ebook is with College Publishing House, rights acquired from the original print publisher, Clanrye International. The publisher’s policy is to use permanent paper from mills that operate a sustainable forestry policy. Furthermore, the publisher ensures that the text paper and cover boards used have met acceptable environmental accreditation standards. Trademark Notice: Registered trademark of products or corporate names are used only for explanation and identification without intent to infringe. Contents Preface VII Section 1 Techniques 1 Chapter 1 Ant Colony Optimization Toward Feature Selection 3 Monirul Kabir, Md Shahjahan and Kazuyuki Murase Chapter 2 Strategies for Parallel Ant Colony Optimization on Graphics Processing Units 45 Jaqueline S. Angelo, Douglas A. Augusto and Helio J. C. Barbosa Chapter 3 Parallel Ant Colony Optimization: Algorithmic Models and Hardware Implementations 66 Pierre Delisle Section 2 Applications 84 Chapter 4 An Ant Colony Optimization Algorithm for Area Traffic Control 86 Soner Haldenbilen, Ozgur Baskan and Cenk Ozan Chapter 5 Scheduling in Manufacturing Systems – Ant Colony Approach 105 Mieczysław Drabowski and Edward Wantuch Chapter 6 ANGEL: A Simplified Hybrid Metaheuristic for Structural Optimization 138 Anikó Csébfalvi Chapter 7 Traffic-Congestion Forecasting Algorithm Based on Pheromone Communication Model 160 Satoshi Kurihara ______________WORLD TECHNOLOGIES______________ VI Contents Chapter 8 Ant Colony Algorithm with Applications in the Field of Genomics 173 R. Rekaya, K. Robbins, M. Spangler, S. Smith, E. H. Hay and K. Bertrand Permissions List of Contributors ______________WORLD TECHNOLOGIES______________ Preface It is often said that books are a boon to mankind. They document every progress and pass on the knowledge from one generation to the other. They play a crucial role in our lives. Thus I was both excited and nervous while editing this book. I was pleased by the thought of being able to make a mark but I was also nervous to do it right because the future of students depends upon it. Hence, I took a few months to research further into the discipline, revise my knowledge and also explore some more aspects. Post this process, I begun with the editing of this book. Ant Colony Optimization (ACO) is the best example of how studies intended at understanding and modeling the behavior of ants and other social insects can inspire the development of computational algorithms for the solution of tough mathematical problems. Introduced by Marco Dorigo in his PhD thesis (1992) and initially applied to the travelling salesman problem, the ACO field has experienced an enormous growth, reaching a position of an essential nature-inspired stochastic metaheuristic for optimization of critical problems. This book offers state-of-the-art ACO methods and covers various techniques, comprising of parallel implementations and applications, where current investments of ACO to varied areas, like traffic clog and discipline, structural optimization, manufacturing, and genomics have been demonstrated. I thank my publisher with all my heart for considering me worthy of this unparalleled opportunity and for showing unwavering faith in my skills. I would also like to thank the editorial team who worked closely with me at every step and contributed immensely towards the successful completion of this book. Last but not the least, I wish to thank my friends and colleagues for their support. Editor ______________WORLD TECHNOLOGIES______________ "This page is Intentionally Left Blank" ______________WORLD TECHNOLOGIES______________ Section 1 Techniques ______________WORLD TECHNOLOGIES______________
Description:The list of books you might like
