© Springer International Publishing Switzerland 2016. This paper presents a design and deployment tool for wireless local area networks (WLAN) based on the IEEE 802.11 standard. The problem for optimal WLAN deployment has been addressed using an evolutionary genetic strategy. The algorithm starts with an initial population of nodes defined within a map and tries to search the best location for access points (AP). The flexibility of the algorithm allows improving the distribution of APs based on the analysis of the RF signal loss by distance and obstacles as criteria. This algorithm has been fully integrated within a previous tool called WiFiSim, which allows to study various parameters and design problems in the PHY and MAC layers of the OSI model (e.g., the hidden node problem, throughput, channel utilization, frame collisions, delays, and jitter). This enables engineers to have a complete tool for the study, design and deployment of customized Wi-Fi networks.