@article{(Open Science Index):https://publications.waset.org/pdf/9998005,
	  title     = {Ant System with Acoustic Communication},
	  author    = {S. Bougrine and  S. Ouchraa and  B. Ahiod and  A. A. El Imrani},
	  country	= {},
	  institution	= {},
	  abstract     = {Ant colony optimization is an ant algorithm framework that took inspiration from foraging behavior of ant colonies. Indeed, ACO algorithms use a chemical communication, represented by pheromone trails, to build good solutions. However, ants involve different communication channels to interact. Thus, this paper introduces the acoustic communication between ants while they are foraging. This process allows fine and local exploration of search space and permits optimal solution to be improved.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {4},
	  year      = {2014},
	  pages     = {578 - 582},
	  ee        = {https://publications.waset.org/pdf/9998005},
	  url   	= {https://publications.waset.org/vol/88},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 88, 2014},