TY  - BOOK
AU  - Aguiar e Oliveira Junior,Hime
ED  - SpringerLink (Online service)
TI  - Evolutionary Global Optimization, Manifolds and Applications
T2  - Studies in Systems, Decision and Control,
SN  - 9783319264677
AV  - Q342 
U1  - 006.3 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Engineering
KW  - Mathematical optimization
KW  - Statistics
KW  - Computational intelligence
KW  - Economic theory
KW  - Computational Intelligence
KW  - Economic Theory/Quantitative Economics/Mathematical Methods
KW  - Continuous Optimization
KW  - Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
N1  - Part I Introductory Information -- Part II Global optimization on manifolds -- Part III Further Applications of fuzzy ASA
N2  - This book presents powerful techniques for solving global optimization problems on manifolds by means of evolutionary algorithms, and shows in practice how these techniques can be applied to solve real-world problems. It describes recent findings and well-known key facts in general and differential topology, revisiting them all in the context of application to current optimization problems. Special emphasis is put on game theory problems. Here, these problems are reformulated as constrained global optimization tasks and solved with the help of Fuzzy ASA. In addition, more abstract examples, including minimizations of well-known functions, are also included. Although the Fuzzy ASA approach has been chosen as the main optimizing paradigm, the book suggests that other metaheuristic methods could be used as well. Some of them are introduced, together with their advantages and disadvantages. Readers should possess some knowledge of linear algebra, and of basic concepts of numerical analysis and probability theory. Many necessary definitions and fundamental results are provided, with the formal mathematical requirements limited to a minimum, while the focus is kept firmly on continuous problems. The book offers a valuable resource for students, researchers and practitioners. It is suitable for university courses on optimization and for self-study
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-26467-7
ER  -