Advances in metaheuristics : applications in engineering systems

著者

    • Ganesan, Timothy
    • Vasant, Pandian
    • Elamvazuthi, Irraivan

書誌事項

Advances in metaheuristics : applications in engineering systems

Timothy Ganesan, Pandian Vasant, Irraivan Elamvazuthi

CRC Press, c2017

  • : [pbk.]

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Advances in Metaheuristics: Applications in Engineering Systems 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. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. 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. The ten chapters of this book are divided into three parts. The first part discusses three industrial applications in the energy sector. The second focusses on process optimization and considers three engineering applications: optimization of a three-phase separator, process plant, and a pre-treatment process. The third and final part of this book covers industrial applications in material engineering, with a particular focus on sand mould-systems. It also includes discussions on the potential improvement of algorithmic characteristics via strategic algorithmic enhancements. This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems.

目次

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

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