期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：1
页码：127-132
出版社：International Journal of Soft Computing & Engineering
摘要：Numerous methodologies have been invented inspired by nature and based on real life behavior of species which perform task in a group. In this paper, a novel methodology based on intelligent chasing and hunting methods adopted by the animals in a group to chase & hunt their prey is presented. The dog is taken as prime model for developing the methodology. The method is named as “Dog Group Wild Chase & Hunt Drive (DGCHD) [18]. The algorithm is implemented on Traveling Salesman benchmark problem available in literature. The problem has been solved by different researchers for testing their proposed novel intelligent algorithms in various nature inspired technologies such as Ant Colony System, Genetic Algorithms etc. The results obtained are very optimistic and encouraging
关键词：Dogs behavior; Chasing & hunting;Computational Intelligence; Dog Group Wild Chase & Hunt;Drive (DGCHD); combinatorial optimization.
