Book proposal: intelligent optimization techniques:

Godfrey C. Onwubolu, Professor of Engineering, The University of the South
Pacific, Fiji
B. V. Babu, Professor of Chemical Engineering, Birla Institute of Technology and
Science, Pilani (India)

Part I: New Optimization Techniques
Chapter 2: An Introduction to Genetic Algorithms for Engineering ApplicationsChapter 3: Memetic Algorithms Chapter 4: Scatter Search and Path Relinking: Foundations and Advanced DesignsChapter 5: Ant Colony Optimization Chapter 6: Differential Evolution Chapter 7: SOMA-Self-Organizing Migrating Algorithm Chapter 8: Discrete Particle Swarm Optimization:Illustrated by the Traveling Salesman Part II: Applications of New Optimization Techniques in Engineering
Part II.1: Chemical/Metallurgical Engineering
Chapter 9: Applications in Heat Transfer
Chapter 10: Mass Transfer
Chapter 11: Applications in Reaction Engineering
Chapter 12: Fluid Mechanics
Part II.2: Civil/Environmental Engineering/ Interdisciplinary
Chapter 13: New Ideas and Applications of Scatter Search and Path Relinking
Chapter 14: Beams/Transportation: GA
Chapter 15: Transportation: ACOChapter 16: Genetic Algorithms in Irrigation Planning: A Case Study of Sri Ram Sagar Project, India Part II.3: Electrical/Electronics Engineering
Chapter 17: Optimization of Helical Antenna Electromagnetic Pattern Field
Chapter 18: Memetic Algorithms for VLSI design: the Gate Matrix Layout Problem
Chapter 19: Parametric Optimization of a Fuzzy Logic Controller for Non-linear Dynamical Systems using Evolutionary Computation Chapter 20: DNA Coded GA: Rule Base Optimization of FLC for Mobile Robot Part II.4: Manufacturing/Industrial Engineering
Chapter 21: TRIBES application to the flow shop scheduling problem
Chapter 22: Optimizing CNC Drilling Machine Operations: Traveling Salesman
Problem-Differential Evolution Approach Chapter 23: Particle swarm optimization for the assignment of facilities to locationsChapter 24: Differential Evolution for the Flow Shop Scheduling Problem Part II.5: Mechanical/Aeronautical Engineering
Chapter 25: Evaluation of Form Errors to Large Measurement Data Sets Using Scatter
Chapter 26: Mechanical engineering problem optimization by SOMAChapter 27: Memetic Algorithms for Scheduling and Production & ControlChapter 28: Determination of Optimal Machining Conditions Using Scatter Search Part III: Extended Frontiers
Chapter 29: Extended Frontiers in optimization techniques
Presently, general-purpose optimization techniques such as Simulated Annealing, andGenetic Algorithms, have become standard optimization techniques. These optimizationtechniques commence with a single solution and then find the best from several movesmade, and generally, past history is not carried forward into the present. Manyresearchers agree that firstly, having a population of initial solutions increases thepossibility of converging to an optimum solution, and secondly, updating the currentinformation of the search strategy from previous history is a natural tendency.
Accordingly, attempts have been made by researchers to restructure these standardoptimization techniques in order to achieve the two goals mentioned.
To achieve these two goals, researchers have made concerted efforts in the last one-decade in order to invent novel optimization techniques for solving real life problems,which have the attributes of memory update and population-based search solutions. Thisbook describes these novel optimization techniques, which in most cases outperform theircounterpart standard optimization techniques in many application areas. Despite thesealready promising results, these novel optimization techniques are still in their infancyand can most probably be improved. To date, researchers are still carrying out studies onsound theoretical basis and analysis to determine why some of these novel optimizationtechniques converge so well compared to their counterpart standard optimizationtechniques.
Interestingly, most books that have reported the applications and results of these noveloptimization techniques have done so without sufficiently considering practical problemsin the different engineering disciplines. This book, New Optimization Techniques inEngineering has three main objectives: (i) to discuss in the clearest way possible, thesenovel optimization techniques, (ii) to apply these novel optimization techniques in theconventional engineering disciplines, and (iii) to suggest and incorporate theimprovements in these novel optimization techniques that are feasible as and when it ispossible in the application areas chosen.
To achieve the first objective, Part I containing seven chapters have been written by theinventors of these novel optimization techniques or experts who have done considerablework in the areas (Memetic Algorithm, Scatter Search, Ant Colony Optimization,Differential Evolution, Self-Organizing Migrating Algorithm, Particle SwarmOptimization). Genetic Algorithm has been included for completeness since it is theprogenitor of Memetic Algorithm. The contributor for Genetic Algorithm has beenchosen, not as the inventor, but due to his expertise and contributions in GeneticAlgorithms. To achieve the second objective, Part II contains several chapters in whichresearchers have applied these novel optimization techniques to different Engineeringdisciplines such as Chemical/Metallurgical Engineering, Civil/EnvironmentalEngineering/Interdisciplinary, Electrical/Electronics Engineering,Manufacturing/Industrial Engineering, and Mechanical/Aeronautical Engineering.
Firstly, the Engineering background is sufficiently given concerning the problem-domain, and then a novel optimization technique is applied. Consequently, Part II makesit easy for engineers and scientists to understand the link between theory and applicationof a particular novel optimization technique. To achieve the third objective, the possibleimprovements in these novel optimization techniques are identified, suggested andapplied to some of the engineering problems successfully. Part III discusses newer areas,which are considered as extended frontiers.
The text serves as an instructional material for upper division undergraduates, entry-levelgraduate student, and a resource material for practicing engineers, research scientists,operations researchers, computer scientists, applied mathematicians, and managementscientists. Those to purchase the book include upper division undergraduates or entry-level graduate students, academics, professionals and researchers of disciplines listedabove, and libraries.
B. V. Babu, Professor & Head, Chemical Engineering & Engineering Technology
Departments, In-charge of Workshop, E.S.D, Birla Institute of Technology and Science
(BITS), Pilani-333 031 (Rajasthan), India. E-mail: [email protected] (CHAP. 1,
9, 10, 11 & 12)
Laxmidhar Behera, Assistant Professor, Department of Electrical Engineering, Indian
Institute of Technology, Kanpur-208 016, India. E-mail: [email protected] (CHAP. 19)
Antonella Carbonaro, Department of Computer Science, University of Bologna via
Sacchi, 3, 47023 Cesena, Italy. Email: [email protected] (CHAP. 15)
Kai-Ying Chen, Assistant Professor, Department of Industrial Engineering, National
Taipei University of Technology, E-mail: [email protected] (CHAP. 25 & 28)
Mu-Chen Chen, Professor, Department of Business Management, National Taipei
University of Technology, No. 1, Section 3, Chung-Hsiao E. Road, Taipei 106, Taiwan,
Email: [email protected] / [email protected] (CHAP. 25 & 28)
Maurice Clerc, France Télécom Recherche & Développement, 90000, Belfort, France
Email: Maurice.Clerc@ (CHAP. 8)
Carlos Cotta, Associate Professor, University of Málaga, Departamento de Lenguajes y
Ciencias de la Computación Complejo Tecnológico (Despacho 3.2.49), Campus de
Teatinos 29071-Málaga. SPAIN. Email: [email protected] (CHAP. 3 & 27)
Kalyanmoy Deb, Professor of Department of Mechanical Engineering, Indian Institute
of Technology, Kanpur, Pin 208 016, INDIA. E-mail: [email protected] (CHAP. 2)
Luca Maria Gambardella, Director, IDSIA, Istituto Dalle Molle di Studi
sull'Intelligenza Artificiale Galleria 2 6928 Manno-Lugano, Switzerland. Email:
[email protected] (CHAP. 5)
Fred Glover, MediaOne Chaired Professor of Systems Science, University of Colorado;
Visiting Hearin Professor, University of Mississippi; Research Director of the Hearin
Center for Enterprise Science; School of Business Administration University of
Mississippi University, MS 38677. Email: [email protected] (CHAP. 4 &13)
Lee Tong Heng, Department of Electrical & Computer Engineering, National University
of Singapore, 4 Engineering Drive 3, Singapore-117 576, E-mail: [email protected]
(CHAP. 20)
Hanno Hildmann, University of Amsterdam, Department of Sciences, The Netherlands.
Email: [email protected] (CHAP. 15)
D. Nagesh Kumar, Associate Professor, Civil Engineering Department, Indian Institute
of Science, Bangalore-560 012, India. E-mail: [email protected] (CHAP. 16)
Manuel Laguna, Leeds School of Business, University of Colorado,Boulder, CO 80309-
0419, USA. Em
Fabio de Luigi, Dept. Computer Science, University of Ferrara, Italy. Email:
[email protected] (CHAP. 5)
Jouni Lampinen, Department of Information Technology, Laboratory of Information
Processing, Lappeenranta University of Technology, P.O.Box 20, FIN-53851
Lappeenranta, Finland. E-mail: [email protected] (CHAP. 6 & 26)
Alexandre Linhares, Adjunct Professor, Brazilian School of Business and Public
Administration, FGV, Praia de Botafogo 190/426, Rio de Janeiro 22257-970.
Email: [email protected] (CHAP. 18)
Vittorio Maniezzo, Professor, Department of Computer Science, University of Bologna
via Sacchi, 3, 47023 Cesena, Italy. Email: [email protected] (CHAP. 5 & 15)
Rafael Marti, Departamento de Estadistica e Investigación Operativa, Facultad de
Matemáticas, Universidad de Valencia, C/ Dr. Moliner 50, 46100 Burjassot, Valencia,
Spain. E-mail: [email protected] (CHAP. 4 & 13)
Alexandre de Sousa Mendes, Universidade Estadual de Campinas - UNICAMP
Faculdade de Engenharia Elétrica e de Computação – FEEC Departamento de
Engenharia de Sistemas - DENSIS C.P. 6101 - CEP 13083-970, Campinas - SP - Brazil
E-mail: [email protected] (CHAP.3, 18 & 27)
Pablo Moscato, Senior Lecturer and Postgraduate Director for Computer Science,
School of Electrical Engineering and Computer Science, Faculty of Engineering and
Built Environment, The University of Newcastle, Callaghan, 2308 New South Wales,
Australia. Email: [email protected] (CHAP. 3, 18, & 27)
Godfrey C. Onwubolu, Professor and Chair of Engineering, Department of Engineering,
The University of the South Pacific, PO Box 1168, Suva, FIJI. Email:
[email protected] (CHAP. 1, 21, 22, 23, & 24)
Panos M. Pardalos, Professor and Co-Director, Center for Applied Optimization,
Industrial and Systems Engineering Department, 303 Weil Hall, University of Florida,
PO Box 116595, Gainesville, FL 32611-6595, Email: [email protected] /
[email protected] (CHAP. 29)
Xiao Peng, Department of Electrical & Computer Engineering, National University of
Singapore, 4 Engineering Drive 3, Singapore-117 576, E-mail: [email protected]
(CHAP. 20)
K. Srinivasa Raju, Assistant Professor, Civil Engineering Group, Birla Institute of
Technology and Science (BITS), Pilani -333 031Rajasthan, India. Email: ksraju@bits- (CHAP. 16)
K. S. Reddy, Associate Professor, Department of Civil Engineering, Indian Institute of
Technology, Kharagpur-721 302, India. E-mail: [email protected] (CHAP.
Anuraganand Sharma, Computer Section, Colonial, Suva, Fiji. Email:

Rainer Storn, Infineon AG, TR PRM AL, Balanstr. 73, D-81541 Muenchen, Germany /
International Computer Science Institute 1947 Center Street, Suite 600, Berkeley, CA
94704-1198. E-mail: [email protected] / [email protected] (CHAP. 6)
Prahlad Vadakkepat, Assistant Professor, Department of Electrical & Computer
Engineering, National University of Singapore & General Secretary, Federation of
International Robot-soccer Association, Singapore, E-mail: [email protected] (CHAP.
Ivan Zelinka, Tomas Bata University in Zlin, Faculty of Technology, Institut of
Information Technologies, Mostni 5139, Zlin 760 01, Czech Republic. Email:
[email protected] (CHAP. 7, 17, & 26)


(microsoft word - durham & darlington ccu pandemic influenza plan - appendix\205)

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