Ordinal Optimization : Soft Optimization for Hard Problems /
By: Ho, Yu-Chi [author.].
Contributor(s): Zhao, Qian-Chuan [author.] | Jia, Qing-Shan [author.] | SpringerLink (Online service).
Material type:
BookPublisher: Boston, MA : Springer US, 2007.Description: XV, 317 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9780387686929.Subject(s): Engineering | Operations research | Decision making | Applied mathematics | Engineering mathematics | Computational intelligence | Control engineering | Robotics | Mechatronics | Electrical engineering | Engineering | Appl.Mathematics/Computational Methods of Engineering | Computational Intelligence | Electrical Engineering | Control, Robotics, Mechatronics | Operation Research/Decision TheoryDDC classification: 519 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK9811 |
Ordinal Optimization Fundamentals -- Comparison of Selection Rules -- Vector Ordinal Optimization -- Constrained Ordinal Optimization -- Memory Limited Strategy Optimization -- Additional Extensions of the OO Methodology -- Real World Application Examples.
Performance evaluation of increasingly complex human-made systems requires the use of simulation models. However, these systems are difficult to describe and capture by succint mathematical models. The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and discrete choices. This book establishes distinct advantages of the "softer" ordinal approach for search-based type problems, analyzes its general properties, and shows the many orders of magnitude improvement in computational efficiency that is possible. .
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