Comparative evaluation of firefly algorithm and MC-GPSO for optimal RFID Network Planning

There are various RFID Network Planning optimization problems that can be effectively solved by Metaheuristic Algorithms. Firefly and MC-GPSO algorithms are the state-of-art algorithms in this area. This paper presents a comparative study between these two Meta-heuristic algorithms for solving a large-scale RNP network and analyzing their performance in terms of required number of readers, tag coverage and interference between reader propagation areas. The results show that firefly algorithm has a better optimization quality in comparison with MC-GPSO algorithm for solving hard NP problems.