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Swarm Intelligence, Focus on Ant and Particle Swarm Optimization

ISBN 978-3-902613-09-7
hard cover, 532 pages
Edited by: FelixT.S.Chan and Manoj KumarTiwari
Publisher: I-Tech Education and Publishing, Vienna, Austria
Publication date: December 2007
Price: 80 Euro incl. package & postage

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About the Book

In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on “Swarm Intelligence: Focus on Ant and Particle Swarm Optimization” aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

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Table of Contents

 

Recent Development of Swarm Intelligence Techniques

01Chaotic Rough Particle Swarm Optimization Algorithms
Bilal Alatas and Erhan Akin

02Integration Method of Ant Colony Algorithm and Rough Set Theory for Simultaneous Real Value Attribute Discretization and Attribute Reduction
Yijun He, Dezhao Chen and Weixiang Zhao

03A New Ant Colony Optimization Approach for the Degree-Constrained Minimum Spanning Tree Problem Using Pruefer and Blob Codes Tree Coding 
Yoon-Teck Bau, Chin-Kuan Ho and Hong-Tat Ewe

04Robust PSO-Based Constrained Optimization by Perturbing the PSO Memory
Angel Munoz Zavala, Arturo Hernandez Aguirre and Enrique Villa Diharce

05Using Crowding Distance to Improve Multi-Objective PSO with Local Search
Ching-Shih Tsou and Po-Wu Lai

06Simulation Optimization Using Swarm Intelligence as Tool for Cooperation Strategy Design in 3D Predator-Prey Game
Emiliano G. Castro and Marcos S. G. Tsuzuki

07Differential Meta-model and Particle Swarm Optimization
Jianchao Zeng and Zhihua Cui

08Artificial Bee Colony Algorithm and Its Application to Generalized Assignment Problem 
Adil Baykasoglu, Lale Ozbakor and Pinar Tapkan

09Finite Element Mesh Decomposition Using Evolving Ant Colony Optimization
Ardeshir Bahreininejad

10Swarm Intelligence and Image Segmentation
Sara Saatchi and Chih Cheng Hung

11Particle Swarm Optimization - Stochastic Trajectory Analysis and Parameter Selection
M. Jiang, Y. P. Luo and S. Y. Yang

12Stochastic Metaheuristics as Sampling Techniques Using Swarm Intelligence
Johann Dreo and Patrick Siarry

13Artificial Ants in the Real World: Solving On-line Problems Using Ant Colony Optimization
Bruno R. Nery, Rodrigo F. de Mello, Andre P. L. F. de Carvalho and Laurence T. Yan

 

New Industrial Applications of Swarm Intelligence Techniques

14Application of PSO to Design UPFC-based Stabilizers 
Ali T. Al-Awami, Mohammed A. Abido and Youssef L. Abdel-Magid

15CSV-PSO and Its Application in Geotechnical Engineering
Bing-rui Chen and Xia-ting Feng

16Power Plant Maintenance Scheduling Using Ant Colony Optimization 
Wai Kuan Foong, Holger Robert Maier and Angus Ross Simpson

17Particle Swarm Optimization for Simultaneous Optimization of Design and Machining Tolerances
Liang Gao, Chi Zhou and Kun Zan

18Hybrid Method for the Layout Problem
Yasmina Hani, Lionel Amodeo, Farouk Yalaoui and Haoxun Chen

19Selection of Best Alternative Process Plan in Automated Manufacturing Environment: An Approach Based on Particle Swarm Optimization
F.T.S. Chan, M.K. Tiwari and Y. Dashora

20Job-shop Scheduling and Visibility Studies with a Hybrid ACO Algorithm
Heinonen, J. and Pettersson, F.

21Particle Swarm Optimization in Structural Design
Ruben E. Perez and Kamran Behdinan

22Reserve-Constrained Multiarea Environmental/Economic Dispatch Using Enhanced Particle Swarm Optimization
Lingfeng Wang and Chanan Singh

23Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication
Peng-Yeng Yin and Shan-Cheng Li

24Case Study Based Convergence Behaviour Analysis of ACO Applied to Optimal Design of Water Distribution Systems 
Aaron C. Zecchin, Holger R. Maier and Angus R. Simpson

25A CMPSO Algorithm Based Approach to Solve the Multi-plant Supply Chain Problem
Felix T. S. Chan, Vikas Kumar and Nishikant Mishra

26Ant Colonies for Performance Optimization of Multi-components Systems Subject to Random Failures
Nabil Nahas, Mustapha Nourelfath and Daoud Ait-Kadi

27Distributed Particle Swarm Optimization for Structural Bayesian Network Learning
Ferat Sahin and Archana Devasia