Journal of Digital Information Management Maytham Safar, Sami Habib 5 1 2007 http://www.dirf.org/jdim/v5n1a1.asp We analyze the consequences when both the server placement problem and network topology problem are solved concurrently through soft computing. Both problems are formulated as a combined optimization problem, subject to a set of design and performance constraints while minimizing the enterprise network cost. We have coded the combined optimization problem within a soft computing methodology, which is based on a probabilistic genetic program for automatically searching the design space for good network topologies. The experimental results for synthesizing and optimizing 3- level enterprise network (65 user nodes) for an edgeserver placement has demonstrated the effectiveness of our methodology in finding good solutions with a static workload in less than five minutes.