An Algorithm to Find Efficient Supported Solutions of Non-convex Multiobjective Optimization Problems

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Release : 2011
Genre : Algorithms
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Book Rating : /5 ( reviews)

An Algorithm to Find Efficient Supported Solutions of Non-convex Multiobjective Optimization Problems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Algorithm to Find Efficient Supported Solutions of Non-convex Multiobjective Optimization Problems write by Nell Kiyoko Elliott. This book was released on 2011. An Algorithm to Find Efficient Supported Solutions of Non-convex Multiobjective Optimization Problems available in PDF, EPUB and Kindle.

Non-Convex Multi-Objective Optimization

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Release : 2017-07-27
Genre : Mathematics
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Book Rating : 074/5 ( reviews)

Non-Convex Multi-Objective Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Non-Convex Multi-Objective Optimization write by Panos M. Pardalos. This book was released on 2017-07-27. Non-Convex Multi-Objective Optimization available in PDF, EPUB and Kindle. 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 business management.

A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization

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Release : 2020-01-21
Genre : Mathematics
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Book Rating : 494/5 ( reviews)

A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization write by Stefan Rocktäschel. This book was released on 2020-01-21. A Branch-and-Bound Algorithm for Multiobjective Mixed-integer Convex Optimization available in PDF, EPUB and Kindle. Stefan Rocktäschel introduces a branch-and-bound algorithm that determines a cover of the efficient set of multiobjective mixed-integer convex optimization problems. He examines particular steps of this algorithm in detail and enhances the basic algorithm with additional modifications that ensure a more precise cover of the efficient set. Finally, he gives numerical results on some test instances.

Multi-Objective Combinatorial Optimization Problems and Solution Methods

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Release : 2022-02-15
Genre : Science
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Book Rating : 996/5 ( reviews)

Multi-Objective Combinatorial Optimization Problems and Solution Methods - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multi-Objective Combinatorial Optimization Problems and Solution Methods write by Mehdi Toloo. This book was released on 2022-02-15. Multi-Objective Combinatorial Optimization Problems and Solution Methods available in PDF, EPUB and Kindle. Multi-Objective Combinatorial Optimization Problems and Solution Methods discusses the results of a recent multi-objective combinatorial optimization achievement that considered metaheuristic, mathematical programming, heuristic, hyper heuristic and hybrid approaches. In other words, the book presents various multi-objective combinatorial optimization issues that may benefit from different methods in theory and practice. Combinatorial optimization problems appear in a wide range of applications in operations research, engineering, biological sciences and computer science, hence many optimization approaches have been developed that link the discrete universe to the continuous universe through geometric, analytic and algebraic techniques. This book covers this important topic as computational optimization has become increasingly popular as design optimization and its applications in engineering and industry have become ever more important due to more stringent design requirements in modern engineering practice. Presents a collection of the most up-to-date research, providing a complete overview of multi-objective combinatorial optimization problems and applications Introduces new approaches to handle different engineering and science problems, providing the field with a collection of related research not already covered in the primary literature Demonstrates the efficiency and power of the various algorithms, problems and solutions, including numerous examples that illustrate concepts and algorithms

Global Optimization with Non-Convex Constraints

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Release : 2013-11-09
Genre : Mathematics
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Book Rating : 77X/5 ( reviews)

Global Optimization with Non-Convex Constraints - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Global Optimization with Non-Convex Constraints write by Roman G. Strongin. This book was released on 2013-11-09. Global Optimization with Non-Convex Constraints available in PDF, EPUB and Kindle. Everything should be made as simple as possible, but not simpler. (Albert Einstein, Readers Digest, 1977) The modern practice of creating technical systems and technological processes of high effi.ciency besides the employment of new principles, new materials, new physical effects and other new solutions ( which is very traditional and plays the key role in the selection of the general structure of the object to be designed) also includes the choice of the best combination for the set of parameters (geometrical sizes, electrical and strength characteristics, etc.) concretizing this general structure, because the Variation of these parameters ( with the structure or linkage being already set defined) can essentially affect the objective performance indexes. The mathematical tools for choosing these best combinations are exactly what is this book about. With the advent of computers and the computer-aided design the pro bations of the selected variants are usually performed not for the real examples ( this may require some very expensive building of sample op tions and of the special installations to test them ), but by the analysis of the corresponding mathematical models. The sophistication of the mathematical models for the objects to be designed, which is the natu ral consequence of the raising complexity of these objects, greatly com plicates the objective performance analysis. Today, the main (and very often the only) available instrument for such an analysis is computer aided simulation of an object's behavior, based on numerical experiments with its mathematical model.