Advances in Metaheuristics : Applications in Engineering Systems

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Advances in Metaheuristics : Applications in Engineering Systems

  • ウェブストア価格 ¥27,535(本体¥25,032)
  • CRC Press Inc(2016/11発売)
  • 外貨定価 US$ 126.99
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  • ポイント 1,250pt
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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 213 p.
  • 言語 ENG
  • 商品コード 9781498715485
  • DDC分類 620.0015196

Full Description

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.

Contents

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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