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130626 ||| eng |
| 020 |
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|a 9780387686929
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| 100 |
1 |
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|a Ho, Yu-Chi
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| 245 |
0 |
0 |
|a Ordinal Optimization
|h Elektronische Ressource
|b Soft Optimization for Hard Problems
|c by Yu-Chi Ho, Qian-Chuan Zhao, Qing-Shan Jia
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| 250 |
|
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|a 1st ed. 2007
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| 260 |
|
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|a New York, NY
|b Springer US
|c 2007, 2007
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| 300 |
|
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|a XV, 317 p
|b online resource
|
| 505 |
0 |
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|a 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
|
| 653 |
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|a Operations research
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| 653 |
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|a Control, Robotics, Automation
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| 653 |
|
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|a Engineering mathematics
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| 653 |
|
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|a Computational intelligence
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| 653 |
|
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|a Electrical and Electronic Engineering
|
| 653 |
|
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|a Electrical engineering
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| 653 |
|
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|a Computational Intelligence
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| 653 |
|
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|a Control engineering
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| 653 |
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|a Robotics
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| 653 |
|
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|a Engineering / Data processing
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| 653 |
|
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|a Automation
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| 653 |
|
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|a Operations Research and Decision Theory
|
| 653 |
|
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|a Mathematical and Computational Engineering Applications
|
| 700 |
1 |
|
|a Zhao, Qian-Chuan
|e [author]
|
| 700 |
1 |
|
|a Jia, Qing-Shan
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-0-387-68692-9
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-0-387-68692-9?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 620
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| 520 |
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|a 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.
|