Multi-colony ant algorithm using a sociometry-based network and its application
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 9140, Page: 205-212
2015
- 2Citations
- 2Captures
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Conference Paper Description
In this paper, the social fabric approach is weaved into multi-behavior based multi-colony ant colony system (MBMC-ACS) to construct pheromone diffusion model. According to the propagation characteristics of knowledge in the social fabric, the Cobb-Dauglas production function is introduced to describe the increase of pheromone caused by pheromone diffusion. The pheromone diffused inter-colonies based on sociometry-based networks can simulate the knowledge evolution mechanism in organizational learning network, which allows the algorithm to avoid premature convergence and stagnation problems. The experimental results for TSP show the validity of this algorithm.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84947793558&origin=inward; http://dx.doi.org/10.1007/978-3-319-20466-6_22; https://link.springer.com/10.1007/978-3-319-20466-6_22; https://dx.doi.org/10.1007/978-3-319-20466-6_22; https://link.springer.com/chapter/10.1007/978-3-319-20466-6_22
Springer Science and Business Media LLC
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