Can I read Non-Convex Multi-Objective Optimization on EtoBox?

Non-Convex Multi-Objective Optimization by Panos M. Pardalos, Antanas Žilinskas and Julius Žilinskas is a nonfiction available to read on EtoBox.

What is Non-Convex Multi-Objective Optimization about?

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 trade-offs between various conflicting goals. A variety of deterministic and stochastic multi-objective optimization methods are developed in this book. Beginning with basic concepts and a review of non-convex single-objective optimization problems; this book moves on to cover multi-objective branch and bound algorithms, worst-case optimal algorithms (for Lipschitz functions and bi-objective problems), statistical models based algorithms, and probabilistic branch and bound approach. Detailed descriptions of new algorithms for non-convex multi-objective optimization, their theoretical substantiation, and examples for practical applications to the cell formation problem in manufacturing engineering, the process design in chemical engineering, and business process management are included to aide researchers and graduate students in mathematics, computer science, engineering, economics, and busi

Who reads Non-Convex Multi-Objective Optimization?

Author

Panos M. Pardalos, Antanas Žilinskas and Julius Žilinskas

Publisher

Springer International Publishing, Cham

Published

2017

Language

EN

ISBN

9783319610054

Category

nonfiction

Subjects

Mathematics, Computer Science, Science