Fuzzy Adaptive PBIL based sensor placement in Wireless Sensor Networks
Shirin Khezri, Mohammad Reza Meybodi, Amjad Osmani · 2011
In this paper, a Fuzzy Adaptive Population-Based Incremental Learning algorithm (FAPBIL) is presented based on analyzing the characteristics of traditional PBIL algorithm. Overcoming disadvantages of traditional PBIL algorithm, the proposed FAPBIL algorithm can adjust learning rate and mutation probability automatically according to the evolution degree of the algorithm's searching performed using Fuzzy Controller. Extensive computational tests are carried out with Sensor Placement problem. The results compared with Random Search algorithm, standard PBIL algorithms and LAEDA show that the proposed algorithm performs them in calculation efficiency and search capability. The proposed algorithm can acquire stable high quality solution.