Handbook of Research on Artificial Intelligence Techniques and Algorithms
For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques...
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| Format: | Book |
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IGI Global
2014
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84957059047&doi=10.4018%2f978-1-4666-7258-1&partnerID=40&md5=ab1364cd8c8f6715023ac5f9578e36ca http://eprints.utp.edu.my/31080/ |
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| Summary: | For decades, optimization methods such as Fuzzy Logic, Artificial Neural Networks, Firefly, Simulated annealing, and Tabu search, have been capable of handling and tackling a wide range of real-world application problems in society and nature. Analysts have turned to these problem-solving techniques in the event during natural disasters and chaotic systems research. The Handbook of Research on Artificial Intelligence Techniques and Algorithms highlights the cutting edge developments in this promising research area. This premier reference work applies Meta-heuristics Optimization (MO) Techniques to real world problems in a variety of fields including business, logistics, computer science, engineering, and government. This work is particularly relevant to researchers, scientists, decision-makers, managers, and practitioners. © 2015, IGI Global. All rights reserved. |
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