Solution Methods for Multi-objective Robust Combinatorial 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 Solution Methods for Multi-objective Robust Combinatorial Optimization write by Lisa Thom. This book was released on 2018. Solution Methods for Multi-objective Robust Combinatorial Optimization available in PDF, EPUB and Kindle. This thesis addresses combinatorial optimization problems with several objectives containing uncertain parameters. A variety of robustness concepts for multi-objective optimization problems have been developed during the last years. This thesis provides methods to find so-called robust efficient solutions with respect to several of these concepts, assuming the uncertain parameters to be given via common uncertainty sets. Several solution approaches are presented, including extensions and combinations of algorithms from both robust and multi-objective optimization, using properties of partic...
Multi-Objective Combinatorial Optimization Problems and Solution Methods
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 2022-02-09. 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
Multiobjective Optimization
Multiobjective 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 Multiobjective Optimization write by Jürgen Branke. This book was released on 2008-10-18. Multiobjective Optimization available in PDF, EPUB and Kindle. Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.
Solution Methods for Multi-objective Robust Combinatoria Optimization
Solution Methods for Multi-objective Robust Combinatoria 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 Solution Methods for Multi-objective Robust Combinatoria Optimization write by Lisa Thom. This book was released on 2018. Solution Methods for Multi-objective Robust Combinatoria Optimization available in PDF, EPUB and Kindle.
Dynamic Programming Multi-Objective Combinatorial Optimization
Dynamic Programming Multi-Objective Combinatorial 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 Dynamic Programming Multi-Objective Combinatorial Optimization write by Michal Mankowski. This book was released on 2021-02-08. Dynamic Programming Multi-Objective Combinatorial Optimization available in PDF, EPUB and Kindle. This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective combinatorial optimization problems. It proposes the circuits without repetitions representing the sets of feasible solutions along with the increasing and strictly increasing cost functions as a model for such problems. The book designs the algorithms for multi-stage and bi-criteria optimization and for counting the solutions in the framework of this model. As applications, this book studies eleven known combinatorial optimization problems: matrix chain multiplication, global sequence alignment, optimal paths in directed graphs, binary search trees, convex polygon triangulation, line breaking (text justification), one-dimensional clustering, optimal bitonic tour, segmented least squares, optimization of matchings in trees, and 0/1 knapsack problem. The results presented are useful for researchers in combinatorial optimization. This book is also useful as the basis for graduate courses.
