This paintings addresses the examine and improvement of an cutting edge optimization kernel utilized to analog built-in circuit (IC) layout. rather, this works describes the changes contained in the AIDA Framework, an digital layout automation framework absolutely constructed by means of on the built-in Circuits Group-LX of the Instituto de Telecomunicações, Lisbon. It focusses on AIDA-CMK, by means of bettering AIDA-C, that is the circuit optimizer section of AIDA, with a brand new multi-objective multi-constraint optimization module that constructs a base for a number of set of rules implementations. The proposed resolution implements 3 techniques to multi-objective multi-constraint optimization, specifically, an evolutionary process with NSGAII, a swarm intelligence procedure with MOPSO and stochastic hill hiking process with MOSA. furthermore, the applied constitution permits the simple hybridization among kernels remodeling the former easy NSGAII optimization module right into a extra developed and flexible module assisting a number of unmarried and multi-kernel algorithms. the 3 multi-objective optimization methods have been proven with CEC2009 benchmarks to restricted multi-objective optimization and proven with actual analog IC layout difficulties. The accomplished effects have been in comparison when it comes to functionality, utilizing statistical effects bought from a number of self sufficient runs. eventually, a few hybrid methods have been additionally experimented, giving a foretaste to a variety of possibilities to discover in destiny work.