Multi-Objective Combinatorial Optimization Problems and Solution Methods

Erscheinungsjahr 2022
ISBN: 978-0-12-823799-1
Verlag: William Andrew Publishing

Buch, Englisch, 314 Seiten, Format (B × H): 191 mm x 235 mm, Gewicht: 660 g

Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques.

This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice.

Autoren/Hrsg.

Toloo, Mehdi

Talatahari, Siamak

Rahimi, Iman

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

1. Multi-objective combinatorial optimization problems: Social, Keywords, and Journal maps Mehdi Toloo, Siamak Talatahari, Iman Rahimi and Amir H. Gandomi 2. The Fundamentals and Potential of Heuristics and Metaheuristics for Multi-Objective Combinatorial Optimization Problems and Solution Methods Ana Carolina Borges Monteiro, Reinaldo Padilha França, Rangel Arthur, Yuzo Iano and Reinaldo Padilha França 3. A survey on links between multiple objective decision making and data envelopment analysis Amineh Ghazi and Farhad Hosseinzadeh Lotfi

II. New methods for combinatorial optimization problems 4. Improved Crow Search Algorithm Based on Arithmetic Cross Over- A Novel Metaheuristic Technique for Solving Engineering Optimization Problems S N Kumar, A Lenin Fred, R. Jonisha Miriam, Padmanabhan Parasuraman, Balazs Gulyas, Ajay Kumar Haridhas and Nisha Dayana 5. MOGROM: Multi-objective Golden Ratio Optimization Algorithm Behrooz Vahidi, Amin Foroughi and Abolfazl Rahiminejad

III. Application of random-based methods for combinatorial optimization problems 6. Multi-Objective Charged System Search for Optimum Location of Bank Branch Siamak Talatahari 7. Application of Multi-objective Grey Wolf Optimization in Gasification-based Problems Siamak Talatahari 8. A VDS-NSGA-II Algorithm for Multi-Year Multi-Objective Dynamic Generation and Transmission Expansion Planning Ali Esmaeel Nezhad 9. A Multi-Objective Cuckoo Search Algorithm for Community Detection in Social Networks Farhad Soleimanian Gharehchopogh and Shafih Ghafori

IV. Application of other methods for combinatorial optimization problems 10. Finding efficient solutions of the multi-criteria assignment problem Emmanuel Kwasi Mensah, Esmaeil Keshavarz and Mehdi Toloo 11. Application of Multi-objective Optimization in Thermal Design and Analysis of Complex Energy Systems Ali Baghernejad and Elnaz Aslanzadeh 12. A Multi-Objective Nonlinear Combinatorial Model for Improved Planning of Tour Visits Using a Novel Binary Gaining-Sharing knowledge-based Optimization Algorithm Ali Wagdy wagdy, Said Hassan, Prachi Agrawal and Talari Ganesh 13. Variables Clustering Method to Enable Planning of Large Supply Chains Emilio Bertolotti Sr

Über Autor(innen)

Rahimi, Iman
Iman Rahimi, PhD, earned his BSc (Applied Mathematics) in 2009, MSc (Applied Mathematics - Operations Research) in 2011 and his PhD in the Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia, in 2017. He is now working at the Faculty of Engineering and Information Technology, University of Technology Sydney, Australia, as a research scholar. His research interests include machine learning and multiobjective optimization. He also has edited three books entitled "Evolutionary Computation in Scheduling", "Big Data Analytics in Supply Chain Management: Theory and Applications", and "Multi-Objective Combinatorial Optimization Problems and Solution Methods" with Wiley, CRC Press (Taylor & Francis Group), and Elsevier, respectively. He has served as an editor for the following journals: International Journal of Renewable Energy Technology (IJRET) and International Journal of Advanced Heuristic and Meta-Heuristic Algorithms. Besides, he has acted as a reviewer for "International Journal of Production Research (Q1 JRC ranking)" and "Research in Transportation Business & Management (Q3 JCR ranking)". He also received several awards namely, research grants from "University of Tabriz (Iran)", "Iran National Science Foundation", "International Research Scholarship (Australia)", "Faculty of Engineering and Information Technology Scholarship (Australia)", and "Nicolas Baudin Scholarship" from Embassy of France in Australia.

Toloo, Mehdi
Dr. Mehdi Toloo is a Full Professor in the Faculty of Economics, Technical University of Ostrava, and Faculty of Business Administration, University of Economics, Prague, Czech Republic. He received his Masters of Science in Applied Mathematics and his Ph.D. in Operations Research. Dr. Toloo's areas of interest include Operations Research, Decision Analysis, Performance Evaluation, Multi-Objective Programming, and Mathematical Modelling. He has contributed to numerous international conferences as a chair, keynote speaker, and member of the scientific committee. He is an area editor for the Elsevier journal Computers and Industrial Engineering and an associate editor for RAIRO-Operations Research. His publications include the book Introduction to Scientific Computing: 100 Problems and Solutions in Pascal and papers in top-tier journals such as Applied Mathematics and Computers, Applied Mathematic Modeling, Expert Systems with Applications, and Computers and Mathematics with Applications.

Talatahari, Siamak
Dr. Siamak Talatahari received his Ph.D degree in Structural Engineering from University of Tabriz, Iran. After graduation, he joined the University of Tabriz where he is presently Professor of Structural Engineering. He is the author of more than 100 papers published in international journals, 30 papers presented at international conferences and 8 international book chapters. Dr. Talatahari has been recognized as Distinguished Scientist in the Ministry of Science and Technology and as Distinguished Professor at the University of Tabriz. He also teaches at the Yakin Dogu University, Nicosia, Cyprus. In addition, he is a co-author with our author Xin-She Yang of Swarm Intelligence and Bio-Inspired Computation: Structural Optimization Using Krill Herd Algorithm; Metaheuristics in Water, Geotechnical and Transport Engineering, and Metaheuristic Applications in Structures and Infrastructures, all published by as Insights by Elsevier.