Kabalci, Yasin2019-08-012019-08-0120160929-62121572-834Xhttps://dx.doi.org/10.1007/s11277-016-3439-xhttps://hdl.handle.net/11480/3548The inverse cumulative distribution function (CDF) is utilized in several areas such as statistical applications, Monte Carlo methods and communication systems. In wireless communications, the Nakagami-m inverse CDF is widely used to obtain outage probabilities of systems. However, calculation of the Nakagami-m inverse CDF is troublesome and there is no a closed-form expression. Simpler and more accurate approximation for the Nakagami-m inverse CDF is derived in this paper. Moreover, coefficients of the proposed approximation are optimized by using backtracking search optimization algorithm which is a new evolutionary algorithm to solve optimization problems. The obtained results show that the proposed approximation and exact values of the Nakagami-m inverse CDF are in well agreement for all cases.eninfo:eu-repo/semantics/closedAccessInverse cumulative distribution functionNakagami-m-distributionEvolutionary algorithm backtracking search optimization algorithmArticle9111810.1007/s11277-016-3439-x2-s2.0-84976407831Q2WOS:000386663400001Q4