Abstract
The purpose of this research provide decision makers with methodology to optimize the design of a strategy to construct Radio frequency identification (RFID). Under constrain of maximal coverage rate to find the minimum number of RFID reader. Compare the difference of strategies that use different type of reader, and find the cheapest strategy. This paper uses soft computing to find the location of readers and combine the fuzzy-ART and K-means to get better initial solutions, and uses binary search to reduce searching time. Simplified Swarm Optimization (SSO) is the meta-heuristic algorithm using in this case, it can finds solution quickly than tradition math methodology. In this proposed method is to divide the whole floor plan into small squares to compute their coverage rate. The floor can be considered as a grid that contains n squares, commonly called demand squares (DS) in a generic MCLP (Maximal Covering Location Problem).