Multiobjective Optimization : Interactive and Evolutionary Approaches
Publication year: 2008
ISBN: 978-3-540-88908-3
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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.
Subject: Computer Science, GUI design, algorithms, combinatorial optimization, constraint satisfaction problems, decision maps, evolutionary algorithm, evolutionary algorithms, evolutionary computation, fuzzy rule, genetic algorithms, heuristics, hybrid methods, information retrieval, interactive methods, knapsack pr, algorithm analysis and problem complexity, Programming Techniques, Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Numeric Computing, Discrete Mathematics in Computer Science
