Optimization Using Evolutionary Algorithms and Metaheuristics

This insightful book explores the application of algorithm-based optimization techniques in engineering, showcasing their potential to solve complex problems effectively.

The book Optimization Using Evolutionary Algorithms and Metaheuristics delves into the advancements in algorithm-based optimization techniques, which have traditionally been applied to non-engineering domains. This comprehensive work shifts the focus to engineering problems, showcasing how these methodologies can enhance engineering and manufacturing technologies. The application of these techniques is particularly valuable in an era characterized by short product life cycles, where efficient optimization can lead to significant improvements in performance and innovation.

Featuring contributions from leading researchers in the field, Optimization Using Evolutionary Algorithms and Metaheuristics serves two primary objectives. Firstly, it provides an insightful overview of the current status of optimization techniques, allowing readers to grasp the evolution and relevance of these methods in contemporary engineering practices. Secondly, it emphasizes the application of advanced optimization techniques to engineering challenges, demonstrating their potential to solve complex problems that require simultaneous optimization of multiple objectives.

The book highlights various features, including the application of recent algorithms and the development of surrogate modeling, parallelization, game theory, and hybridization. Readers will find discussions on both single-objective and multi-objective optimization problems, along with the latest advancements across diverse engineering fields. By integrating evolutionary algorithms and metaheuristics into engineering contexts, this book stands as a valuable resource for researchers and industry professionals alike, aiming to leverage these innovative approaches for improved outcomes.