Share
Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization (in English)
Ali Kaveh
(Author)
·
Kiarash Biabani Hamedani
(Author)
·
Springer
· Hardcover
Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization (in English) - Kaveh, Ali ; Biabani Hamedani, Kiarash
$ 104.20
$ 109.99
You save: $ 5.79
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Monday, July 01 and
Tuesday, July 02.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.
✓ Producto agregado correctamente al carro, Ir a Pagar.