"This volume presents and discusses recent advancements in evolutionary computation of both theory and applications. Both scientific and engineering applications of evolutionary computation techniques are explored here. This book is broadly organized into three sections: theory and applications in engineering systems; theory and applications of single objective optimization; theory and applications of single and multi-objective optimization studies. Edited by professionals with years of experience, Evolutionary Computation: Techniques and Applications provides an introduction to the theory of evolutionary algorithms and single- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world applications. Covering both the theory and applications of evolutionary computation, the book offers exhaustive coverage of several topics on nontraditional evolutionary techniques; covers detailed working principles of new and popular evolutionary algorithms; discusses case studies on both scientific and real-world applications of optimization. The book will be valuable faculty and researchers as well as advanced students in the areas of optimization, evolutionary computation, modeling and simulation, process plant simulation, and more."--
| ISBN-13: | 9781771883368 |
| ISBN-10: | 1771883367 |
| Publisher: | Apple Academic Press |
| Publication date: | 2017 |
| Edition description: | 1 |
| Pages: | 627 |
| Product dimensions: | Height: 9.2 Inches, Length: 6.2 Inches, Weight: 2.51767903204 Pounds, Width: 1.5 Inches |
| Author: | Ashish M. Gujarathi, B. V. Babu |
| Language: | en |
| Binding: | Hardcover |