The tendency of the microelectronic market is to integrate in the same chip complete electronic systems, including digital, analog and RF circuits simultaneously. The analog part of those systems represents the bottleneck in the design process. The complexity of analog design makes this one an intuitive and creative process but time expensive. An alternative methodology for analog integrated circuits design is to represent the design as a mathematical optimization problem known as geometric programming. The advantages are: global optimum achieved efficiently, and the possibility of design automation. The main disadvantage, is that all the parameters or equations that characterize a circuit are not compatible with the form of this optimization problem.Modern receivers perform downconvertion of the signal using very low, or zero intermediate frequency. Zero-IF and Low-IF topologies are preferred because of their high integration capabilities, and low area and power consumption. Analog filters are basic building blocks of such systems. In this work, a design methodology based on geometric programming is developed, for automated and optimal design of Gm-C filters. iThe design methodology was used to design analog complex and real filters for the digital communications standards Bluetooth and Zigbee IEEE/802.15.4. The results show that the design methodology proposed in this work is an effective solution for fast, automated and optimal analog filter design.