Welcome to the InfoSci Platform
Evolutionary Computing in Engineering Design

Evolutionary Computing in Engineering Design

Rajkumar Roy, Ashutosh Tiwari, Yoseph Tafasse Azene, Gokop Goteng
Copyright: © 2008 |Pages: 18
ISBN13: 9781599045825|ISBN10: 1599045826|ISBN13 Softcover: 9781616927462|EISBN13: 9781599045849
DOI: 10.4018/978-1-59904-582-5.ch009
Cite Chapter Cite Chapter

MLA

Roy, Rajkumar, et al. "Evolutionary Computing in Engineering Design." Handbook of Computational Intelligence in Manufacturing and Production Management, edited by Dipak Laha and Purnendu Mandal, IGI Global, 2008, pp. 167-184. https://doi.org/10.4018/978-1-59904-582-5.ch009

APA

Roy, R., Tiwari, A., Tafasse Azene, Y., & Goteng, G. (2008). Evolutionary Computing in Engineering Design. In D. Laha & P. Mandal (Eds.), Handbook of Computational Intelligence in Manufacturing and Production Management (pp. 167-184). IGI Global. https://doi.org/10.4018/978-1-59904-582-5.ch009

Chicago

Roy, Rajkumar, et al. "Evolutionary Computing in Engineering Design." In Handbook of Computational Intelligence in Manufacturing and Production Management, edited by Dipak Laha and Purnendu Mandal, 167-184. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-582-5.ch009

Export Reference

Mendeley
Favorite

Abstract

This chapter presents an overview of the application of evolutionary computing for engineering design. An optimal design may be defined as the one that most economically meets its performance requirements. Optimisation and search methods can assist the designer at all stages of the design process. The past decade has seen a rapid growth of interest in stochastic search algorithms, particularly those inspired by natural processes in physics and biology. Impressive results have been demonstrated on complex practical optimisation of several schools of evolutionary computation. Evolutionary computing unlike conventional technique, have the robustness for producing variety of optimal solutions in a single simulation run, giving wider options for engineering design practitioners to choose from. Despite limitations, the act of finding the optimal solution for optimisation problems has shown a substantial improvement in terms of reducing optimisation process time and cost as well as increasing accuracy. The chapter aims to provide an overview of the application of evolutionary computing techniques for engineering design optimisation and the rational behind why industries and researchers are in favor of using it. It also presents the techniques application trend rise in the past decade.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.