Handbook of Research on Artificial Intelligence Techniques and Algorithms

Vasant, P. (2014) Handbook of Research on Artificial Intelligence Techniques and Algorithms. IGI Global, pp. 1-118.

Full text not available from this repository.
Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....


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.

Item Type: Book
Impact Factor: cited By 27
Uncontrolled Keywords: Artificial intelligence; Chaotic systems; Disasters; Fuzzy logic; Fuzzy neural networks; Neural networks; Problem solving; Simulated annealing; Tabu search, Application problems; Artificial intelligence techniques; Meta heuristics; Natural disasters; Optimization method; Problem solving technique; Real-world problem; Systems research, Optimization
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 08:54
Last Modified: 25 Mar 2022 08:54
URI: http://scholars.utp.edu.my/id/eprint/31080

Actions (login required)

View Item
View Item