Application of the MOAA for the optimization of wireless sensor networks

Abstract

The multi-objective alliance algorithm (MOAA), a recently introduced optimization algorithm, is applied to the optimization of wireless sensor network layouts. Two different networks with 10 and 50 sensors respectively are optimized. MOAA performance is compared with that of NSGA-II and SPEA2 for 1000, 2000, 3000 and 5000 function evaluations for both networks. The epsilon and hypervolume indicators and the Kruskal-Wallis statistical test are used for the performance comparison. The results show that in most cases the MOAA outperforms both NSGA-II and SPEA2 on both versions of this problem.