Non-Convex Multi-Objective Optimization

Non-Convex Multi-Objective Optimization

Recent results on non-convex multi-objective optimization problems and methods are presented in this book, with particular attention to expensive black-box objective functions. Multi-objective optimization methods facilitate designers, engineers, and researchers to make decisions on appropriate trad...

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Bibliographic Details
Main Authors: Pardalos, Panos M. (Author), Žilinskas, Antanas (Author), Žilinskas, Julius (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:Springer Optimization and Its Applications, 123
Subjects:
Mathematics.
Computer science > Mathematics.
Computer mathematics.
Algorithms.
Mathematical optimization.
Optimization.
Mathematical Applications in Computer Science.
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