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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Roy, A.G. Rakshit, P. Konar, A. Bhattacharya, S. Eunjin Kim Nagar, A.K. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Comput. Sci., Univ. of North Dakota, Grand Forks, ND, USA (Eunjin Kim) || Electr. Eng. Dept., Jadavpur Univ., Kolkata, India (Roy, A.G.; Bhattacharya, S.) || Electron. & Telecommun. Eng. Dept., Jadavpur Univ., Kolkata, India (Rakshit, P.; Konar, A.) || Dept. of Math & Comput. Sci., Liverpool Hope Univ., Liverpool, UK (Nagar, A.K.) |
| Abstract | This paper provides a novel approach to design an Adaptive Firefly Algorithm using self-adaptation of the algorithm control parameter values by learning from their previous experiences in generating quality solutions. Computer simulations undertaken on a well-known set of 25 benchmark functions reveals that incorporation of Q-learning in Firefly Algorithm makes the corresponding algorithm more efficient in both runtime and accuracy. The performance of the proposed adaptive firefly algorithm has been studied on an automatic motion planing problem of nonholonomic car-like system. Experimental results obtained indicate that the proposed algorithm based parking scheme outperforms classical Firefly Algorithm and Particle Swarm Optimization with respect to two standard metrics defined in the literature. |
| Starting Page | 2162 |
| Ending Page | 2169 |
| File Size | 1615498 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479904532 |
| e-ISBN | 9781479904549 |
| e-ISBN | 9781479904525 |
| DOI | 10.1109/CEC.2013.6557825 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-06-20 |
| Publisher Place | Mexico |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Robots Vehicles Absorption Wheels Sociology Statistics car parking firefly algorithm temporal difference q-learning success and failure memory Ackerman steering constraint nonholonomic motion planing |
| Content Type | Text |
| Resource Type | Article |
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