@article{(Open Science Index):https://publications.waset.org/pdf/9996972,
	  title     = {Improved Ant Colony Optimization for Solving Reliability Redundancy Allocation Problems},
	  author    = {Phakhapong Thanitakul and  Worawat Sa-ngiamvibool and  Apinan Aurasopon and  Saravuth Pothiya},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents an improved ant colony optimization (IACO) for solving the reliability redundancy allocation problem (RAP) in order to maximize system reliability. To improve the performance of ACO algorithm, two additional techniques, i.e. neighborhood search, and re-initialization process are presented. To show its efficiency and effectiveness, the proposed IACO is applied to solve three RAPs. Additionally, the results of the proposed IACO are compared with those of the conventional heuristic approaches i.e. genetic algorithm (GA), particle swarm optimization (PSO) and ant colony optimization (ACO). The experimental results show that the proposed IACO approach is comparatively capable of obtaining higher quality solution and faster computational time.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {7},
	  number    = {2},
	  year      = {2013},
	  pages     = {314 - 319},
	  ee        = {https://publications.waset.org/pdf/9996972},
	  url   	= {https://publications.waset.org/vol/74},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 74, 2013},
	}