Timothy Ganesan, Pandian Vasant, Irraivan Elamvazuthi
Advances in Metaheuristics
Applications in Engineering Systems
Timothy Ganesan, Pandian Vasant, Irraivan Elamvazuthi
Advances in Metaheuristics
Applications in Engineering Systems
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This book provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization.
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This book provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization.
Produktdetails
- Produktdetails
- Verlag: CRC Press
- Seitenzahl: 234
- Erscheinungstermin: 23. November 2016
- Englisch
- Abmessung: 234mm x 156mm x 13mm
- Gewicht: 363g
- ISBN-13: 9781498715485
- ISBN-10: 1498715486
- Artikelnr.: 47270112
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: CRC Press
- Seitenzahl: 234
- Erscheinungstermin: 23. November 2016
- Englisch
- Abmessung: 234mm x 156mm x 13mm
- Gewicht: 363g
- ISBN-13: 9781498715485
- ISBN-10: 1498715486
- Artikelnr.: 47270112
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Timothy Ganesan is affiliated with the School of Chemical Engineering, The University of Adelaide, Australia. He holds a Bachelor's Degree in Chemical Engineering (Hons.) and a Master of Science in Computational Fluid Dynamics. Completing a doctorate in Process Optimization his work focuses on multi-objective optimization, process systems engineering and computational intelligence. Pandian Vasant is a senior lecturer at the Department of Fundamental and Applied Sciences, Faculty of Science and Information Technology, Universiti Teknologi PETRONAS in Malaysia. He holds a PhD in computational intelligence, an MSc in engineering mathematics, and a BSc (Hons) in mathematics. His research interests include soft computing, hybrid optimization, holistic optimization, innovative computing and applications. He has authored or coauthored research papers and articles in national and international journals and conference proceedings and papers. He has served as lead guest editor for three special issues of journals, edited books and conference proceedings, written book chapters and conference abstracts, and he gave the keynote lecture for the 2nd EAI International Conference on Nature of Computation and Communication, March 17-18, 2016, Rach Gia, Vietnam. The journal, Applied Soft Computing (Elsevier), recognized Dr. Vasant as its top reviewer in 2009 and as an outstanding reviewer in 2015. He has 25 years of working experience at various universities from 1989-2016. Currently he is editor-in-chief of International Journal of Computing & Optimization, Industrial Engineering & Management, International Journal of Swarm Intelligence and Evolutionary Computation, International Journal of Energy Optimization & Engineering, and managing editor of the Global Journal of Technology and Optimization. Irraivan Elamvazuthi obtained his PhD from Department of Automatic Control & Systems Engineering, University of Sheffield, UK in 2002. He is currently an Associate Professor at the Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS (UTP), Malaysia. His research interests include Control, Robotics, Mechatronics, Power Systems and Bio-medical Applications.
Part I: Energy Systems
Chapter 1: Geometric Optimization for Thermo-Electric Cooler
Chapter 2: Mean-Variance Mapping Optimization for Economic Dispatch
Chapter 3: Smart Charging Optimization of Plug-in Hybrid Electric Vehicles
Part II: Process Optimization
Chapter 4: Three Phase Separator Optimization using Bacteria Foraging
Chapter 5: Plant Optimization using Artificial Fish Swarm Algorithm
Chapter 6: Multi-objective Optimization of Bioethanol Pre-treatment Process
Part III: Material Engineering
Chapter 7: Bioactive Compound Extraction Process Optimization
Chapter 8: Multi-objective Optimization of Cement-bonded Sand Mould System
Chapter 9: Multi-objective Optimization of Green Sand Mould Product
Chapter 10: Multi-objective Optimization of Resin-bonded Sand Core
Properties
Final Remarks on Metaheuristics in Engineering
Chapter 1: Geometric Optimization for Thermo-Electric Cooler
Chapter 2: Mean-Variance Mapping Optimization for Economic Dispatch
Chapter 3: Smart Charging Optimization of Plug-in Hybrid Electric Vehicles
Part II: Process Optimization
Chapter 4: Three Phase Separator Optimization using Bacteria Foraging
Chapter 5: Plant Optimization using Artificial Fish Swarm Algorithm
Chapter 6: Multi-objective Optimization of Bioethanol Pre-treatment Process
Part III: Material Engineering
Chapter 7: Bioactive Compound Extraction Process Optimization
Chapter 8: Multi-objective Optimization of Cement-bonded Sand Mould System
Chapter 9: Multi-objective Optimization of Green Sand Mould Product
Chapter 10: Multi-objective Optimization of Resin-bonded Sand Core
Properties
Final Remarks on Metaheuristics in Engineering
Part I: Energy Systems
Chapter 1: Geometric Optimization for Thermo-Electric Cooler
Chapter 2: Mean-Variance Mapping Optimization for Economic Dispatch
Chapter 3: Smart Charging Optimization of Plug-in Hybrid Electric Vehicles
Part II: Process Optimization
Chapter 4: Three Phase Separator Optimization using Bacteria Foraging
Chapter 5: Plant Optimization using Artificial Fish Swarm Algorithm
Chapter 6: Multi-objective Optimization of Bioethanol Pre-treatment Process
Part III: Material Engineering
Chapter 7: Bioactive Compound Extraction Process Optimization
Chapter 8: Multi-objective Optimization of Cement-bonded Sand Mould System
Chapter 9: Multi-objective Optimization of Green Sand Mould Product
Chapter 10: Multi-objective Optimization of Resin-bonded Sand Core
Properties
Final Remarks on Metaheuristics in Engineering
Chapter 1: Geometric Optimization for Thermo-Electric Cooler
Chapter 2: Mean-Variance Mapping Optimization for Economic Dispatch
Chapter 3: Smart Charging Optimization of Plug-in Hybrid Electric Vehicles
Part II: Process Optimization
Chapter 4: Three Phase Separator Optimization using Bacteria Foraging
Chapter 5: Plant Optimization using Artificial Fish Swarm Algorithm
Chapter 6: Multi-objective Optimization of Bioethanol Pre-treatment Process
Part III: Material Engineering
Chapter 7: Bioactive Compound Extraction Process Optimization
Chapter 8: Multi-objective Optimization of Cement-bonded Sand Mould System
Chapter 9: Multi-objective Optimization of Green Sand Mould Product
Chapter 10: Multi-objective Optimization of Resin-bonded Sand Core
Properties
Final Remarks on Metaheuristics in Engineering







