Guided randomness in optimization /
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented,...
| Main Author: | |
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| Format: | eBook |
| Language: | English |
| Published: |
London : Hoboken, United States :
ISTE, Ltd. ; Wiley,
2015.
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| Series: | Computer engineering series (London, England). Metaheuristics set ;
volume 1. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The performance of an algorithm used depends on the GNA. This book focuses on the comparison of optimizers, it defines a stress-outcome approach which can be derived all the classic criteria (median, average, etc.) and other more sophisticated. Source-codes used for the examples are also presented, this allows a reflection on the "superfluous chance," succinctly explaining why and how the stochastic aspect of optimization could be avoided in some cases. |
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| Physical Description: | 1 online resource (320) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119136439 1119136431 111913644X 9781119136446 9781848218055 1848218052 9781119136453 1119136458 |