Optimization Using Evolutionary Algorithms and Metaheuristics

Applications in Engineering

Nonfiction, Science & Nature, Technology, Engineering, Industrial, Manufacturing, Mathematics, Statistics
Cover of the book Optimization Using Evolutionary Algorithms and Metaheuristics by , CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781000546804
Publisher: CRC Press Publication: August 22, 2019
Imprint: CRC Press Language: English
Author:
ISBN: 9781000546804
Publisher: CRC Press
Publication: August 22, 2019
Imprint: CRC Press
Language: English

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously.

This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle.

Features:

  • Covers the application of recent and new algorithms
  • Focuses on the development aspects such as including surrogate modeling, parallelization, game theory, and hybridization
  • Presents the advances of engineering applications for both single-objective and multi-objective optimization problems
  • Offers recent developments from a variety of engineering fields
  • Discusses Optimization using Evolutionary Algorithms and Metaheuristics applications in engineering
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Metaheuristic optimization is a higher-level procedure or heuristic designed to find, generate, or select a heuristic (partial search algorithm) that may provide a sufficiently good solution to an optimization problem, especially with incomplete or imperfect information or limited computation capacity. This is usually applied when two or more objectives are to be optimized simultaneously.

This book is presented with two major objectives. Firstly, it features chapters by eminent researchers in the field providing the readers about the current status of the subject. Secondly, algorithm-based optimization or advanced optimization techniques, which are applied to mostly non-engineering problems, are applied to engineering problems. This book will also serve as an aid to both research and industry. Usage of these methodologies would enable the improvement in engineering and manufacturing technology and support an organization in this era of low product life cycle.

Features:

More books from CRC Press

Cover of the book Public Consultation and Community Involvement in Planning by
Cover of the book Na+H+ Exchange by
Cover of the book Landslides and Engineered Slopes. Experience, Theory and Practice by
Cover of the book Groups by
Cover of the book Cement Production Technology by
Cover of the book Water Bankruptcy in the Land of Plenty by
Cover of the book Fish Morphology by
Cover of the book Construction Conflict Management and Resolution by
Cover of the book Environmental Nanotechnology by
Cover of the book Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities by
Cover of the book Building Construction Handbook by
Cover of the book Handbook of Natural Pesticides: Methods by
Cover of the book Clinical Governance in Primary Care by
Cover of the book Design of High Strength Steel Reinforced Concrete Columns by
Cover of the book Profit Improvement through Supplier Enhancement by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy