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Titlebook: Evolutionary Global Optimization, Manifolds and Applications; Hime Aguiar e Oliveira Junior Book 2016 Springer International Publishing Sw

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Evolutionary Global Optimization, Manifolds and Applications978-3-319-26467-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
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https://doi.org/10.1007/978-3-319-26467-7Topological Manifolds; Smooth Manifolds; Fuzzy Optimization; Fuzzy ASA; Adaptive Simulated Annealing; Nas
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https://doi.org/10.1057/9780230509511tion do not need to be differentiable or even continuous. It is shown that optimization processes may take place so that candidate points remain restricted to the manifolds that contain their domains—the evolution occurs inside them during the entire optimization process. The presented paradigm is a
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https://doi.org/10.1007/978-3-658-37450-1ality constraints. Functional constraints must satisfy certain smoothness conditions, not excluding simultaneous restrictions of different types, being the effect of dimensional reduction proportional to the number of equality restrictions. The problems under study do not need to restrict cost funct
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https://doi.org/10.1007/978-1-4612-3470-8ntroduced—the aim is to find all Nash equilibria of finite normal form games. To get there, Fuzzy ASA has been modified in order to incorporate techniques, based on space-filling curves, able to find adequate starting points—several well-known strategic games are used to test the efficacy of the met
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International Law and Economicsblems in several scenarios. Its most prominent advantage resides in that the GNE concept allows objective functions and constraints associated to each player to depend on the strategies of other agents, creating a more realistic environment. By studying GNE properties, problems in several fields, in
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Perspectives from Social Economicsen applied to the calculation of Nash–Cournot equilibria in several scenarios, makes it possible to obtain quantitative results concerning the profitability of coalition formation processes in diverse environments. Auxiliary Nash equilibrium problems are solved by transforming the original problem i
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