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Book synopsis

Intelligent optimization is based on the mechanism of computational intelligence to refine a suitable feature model, design an effective optimization algorithm, and then to obtain an optimal or satisfactory solution to a complex problem. Intelligent algorithms are key tools to ensure global optimization quality, fast optimization efficiency and robust optimization performance. Intelligent optimization algorithms have been studied by many researchers, leading to improvements in the performance of algorithms such as the evolutionary algorithm, whale optimization algorithm, differential evolution algorithm, and particle swarm optimization. Studies in this arena have also resulted in breakthroughs in solving complex problems including the green shop scheduling problem, the severe nonlinear problem in one-dimensional geodesic electromagnetic inversion, error and bug finding problem in software, the 0-1 backpack problem, traveler problem, and logistics distribution center siting problem. The editors are confident that this book can open a new avenue for further improvement and discoveries in the area of intelligent algorithms. The book is a valuable resource for researchers interested in understanding the principles and design of intelligent algorithms.

Book details

Book category Books in German Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Full title: Evolutionary Computation 2020
• Author: Gai-Ge Wang, Amir H. Alavi
• Language: English
• Binding: Hardback
• Number of pages: 442
• EAN: 9783036523941
• ISBN: 3036523944
• ID: 38394302
• Publisher: MDPI AG
• Weight: 1148 g
• Dimensions: 244 × 170 × 33 mm
• Date of publishing: 03. December 2021

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