Multi-agent learning technique inspired from software engineering model for permutation coded GA
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-018-2055-9.pdf
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3. Victer Paul, P., Moganarangan, N., Sampath Kumar, S., Raju, R., Vengattaraman, T., Dhavachelvan, P.: Performance analyses over population seeding techniques of the permutation-coded genetic algorithm: an empirical study based on traveling salesman problems. Appl. Soft Comput. 32, 383–402 (2015)
4. Garai, G., Chaudhurii, B.B.: A novel hybrid genetic algorithm with Tabu search for optimizing multi-dimensional functions and point pattern recognition. Inf. Sci. 221, 28–48 (2013)
5. Kuo, R.J., Zulvia, F.E., Suryadi, K.: Hybrid particle swarm optimization with genetic algorithm for solving capacitated vehicle routing problem with fuzzy demand—a case study on garbage collection system. Appl. Math. Comput. 219, 2574–2588 (2012)
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