Optimal Designs by Means of Genetic Algorithms

Author:

Nautiyal Lata1,Shivach Preeti1,Ram Mangey2ORCID

Affiliation:

1. Graphic Era University, India

2. Graphic Era University (Deemed), India

Abstract

With the advancement in contemporary computational and modeling skills, engineering design completely depends upon on variety of computer modeling and simulation tools to hasten the design cycles and decrease the overall budget. The most difficult design problem will include various design parameters along with the tables. Finding out the design space and ultimate solutions to those problems are still biggest challenges for the area of complex systems. This chapter is all about suggesting the use of Genetic Algorithms to enhance maximum engineering design problems. The chapter recommended that Genetic Algorithms are highly useful to increase the High-Performance Areas for Engineering Design. This chapter is established to use Genetic Algorithms to large number of design areas and delivered a comprehensive conversation on the use, scope and its applications in mechanical engineering.

Publisher

IGI Global

Reference15 articles.

1. Bhoskar, T., Kukarni, O. K., Kulkarni, N. K., Patekar, S. L., Kakandikar, G. M., & Nandedkar, V. M. (2015). Genetic Algorithm and Its Applications to Mechanical Engineering: A Review. 4th International Conference on Materials Processing and Characterization. Materials Today:Proceedings, 2, 2624 – 2630.

2. Efficient Evolutionary Algorithms for Searching Robust Solutions

3. Goldberg, D. E. (1998). The Design of Innovation: Lessons from Genetic Algorithms. Lessons for the Real World. University of Illinois at Urbana-Champaign.

4. Holland, J. (1975). Adaptation in Natural and Artificial Systems. University of Michigan Press.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3