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This book highlights a new direction of multiobjective optimzation, which has never been treated in previous publications. When the function form of objective functions is not known explicitly as encountered in many practical problems, sequential approximate optimization based on metamodels is an effective tool from a practical viewpoint. Several sophisticated methods for sequential approximate multiobjective optimization using computational intelligence are introduced along with real applications, mainly engineering problems, in this book.
Genetic algorithms and fuzzy multiobjective optimization Автор: Masatoshi Sakawa Год: 2002 |
Introduction to Modern Portfolio Optimization with NuOPT S PLUS and S+Bayes Автор: Bernd Scherer Год: 2007 |
Introduction to Modern Portfolio Optimization with NuOPT, S-PLUS and S+Bayes Автор: Bernd Scherer Год: 2007 |
Optimization in Medicine and Biology Автор: Gino J. Lim, Eva K. Lee Год: 2008 |
Perspectives in Flow Control and Optimization Автор: Gunzburger M. Год: 2001 |
Mathematics of optimization Автор: Giorgi G., Guerraggio A., Thierfelder J. Год: 2004 |