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Více informací o knize Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization

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Anotace knihy

The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book.The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to be of interest to a wide range of engineers and students who deal with engineering optimization problems.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization
• Autor: Ali Kaveh, Kiarash Biabani Hamedani
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 362
• EAN: 9783031134289
• ID: 39439397
• Nakladatelství: Springer, Berlin
• Hmotnost: 790 g
• Rozměry: 235 × 155 × 25 mm
• Rok vydání: 2022

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