APPLICATIONS OF GENETIC ALGORITHMS, SIMULATED ANNEALING, AND PARTICLE SWARM OPTIMIZATION IN MECHANICAL DESIGN    

Authors : Prof. PANKAJ GUPTA; Dr. SALONI SRIVASTAVA; Prof. SHACHIPATI PANDEY; Dr. AMIT KUMAR SINGH

Publishing Date : 2024

DOI : https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-22

ISBN : 978-81-977620-7-9

Pages : 215-223

Chapter id : RBS/NSP/EB/RAASTTSE/2024/Ch-22

Abstract : In the field of mechanical design, optimization techniques play a crucial role in improving performance, reducing costs, and enhancing the overall efficiency of mechanical systems. This paper explores the applications of three prominent optimization techniques: Genetic Algorithms (GA), Simulated Annealing (SA), and Particle Swarm Optimization (PSO). We delve into their fundamental principles, advantages, and applications in various mechanical design problems. Through numerical examples and case studies, we illustrate how these methods can be effectively applied to optimize mechanical systems. Graphs, tables, and equations are provided to demonstrate the effectiveness of these techniques.

Keywords : Applications, Genetic Algorithms, Simulated Annealing, Particle, Swarm Optimization, Mechanical Design

Cite : Gupta, P., Srivastava, S., Pandey, S., & Singh, A. K. (2024). Applications Of Genetic Algorithms, Simulated Annealing, And Particle Swarm Optimization In Mechanical Design (1st ed., pp. 215-223). Noble Science Press. https://doi.org/10.52458/9788197112492.nsp.2024.eb.ch-22

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