Springer, 1st Ed. (September 20, 2011). - 575 p. ISBN10: 3642211135 We always come cross several decision-making problems in our daily life. Such problems are always conflicting in which many different view points should be satisfied. In politics, business, industrial systems, management science, networks, etc. one often encounters such kind of problems. The most important and difficult part in such problems is the conflict between various objectives and goals. In these problems, one has to find the minimum(or maximum) for several objective functions. Such problems are called vector optimization problems (VOP),multi-criteria optimization problems or multi-objective optimization problems. This volume deals with several different topics / aspects of vector optimization theory ranging from the very beginning to the most recent one. It contains fourteen chapters written by different experts in the field of vector optimization.
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Berlin, Heidelberg: Springer-Verlag, 2006, 494 p. 52 illus.
2nd ed.
As in its first edition, this book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It covers fundamental algorithms as well as more specialized and advanced topics for unconstrained and constrained problems.
Most of the algorithms...
Bot R.I., Grad S.M., Wanka G. Springer; 1 edition (August 18, 2009). - 416 p. ISBN10: 3642028853 This book presents fundamentals and comprehensive results regarding duality for scalar, vector and set-valued optimization problems in a general setting. After a preliminary chapter dedicated to convex analysis and minimality notions of sets with respect to partial orderings induced...
Information Science Reference, 2008. - 475 p. ISBN: 1599044986
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications....
Elsevier Science Ltd, 1978. - 308 p. ISBN: 0444002634. This book's philosophy differs from most others written on numerical methods or numerical analysis. In a typical numerical-analysis text, much time is spent on error analysis. However, in practical applications, usually little time is devoted to rigorous error analysis. Instead of relying solely on error analysis to...
Springer; 1st edition (August 25, 2010). - 458 p. ISBN10: 0387344314. The book gives a detailed and rigorous treatment of the theory of optimization (unconstrained optimization, nonlinear programming, semi-infinite programming, etc.) in finite-dimensional spaces. The fundamental results of convexity theory and the theory of duality in nonlinear programming and the theories of...
Springer – 2011, 300 pages ISBN: 3642208584 Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for...