Evolutionary Optimization in Engineering Design

Abstract

Evolutionary optimization techniques have gained significant attention in engineering design for their ability to efficiently search complex design spaces and find optimal solutions. This paper provides a comprehensive analysis of the application of evolutionary optimization in engineering design tasks, including structural optimization, parameter tuning, and system design. We review the fundamental principles of evolutionary optimization algorithms, such as genetic algorithms, evolutionary strategies, and genetic programming, highlighting their strengths and limitations. Furthermore, we discuss various real-world engineering applications where evolutionary optimization has been successfully employed, showcasing its effectiveness in solving complex design problems. Through this analysis, we aim to provide insights into the best practices and future directions of evolutionary optimization in engineering design.