Multi-objective Analog and RF circuit sizing using a hybrid Cuckoo search optimization algorithm

In this work a hybrid optimization frame work is proposed to enable multi-objective cuckoo search algorithm to cope with multi-objective constrained optimization problems. In a twofold constraint handling mechanism the proposed - Non-dominated sorting cuckoo search algorithm with feasibility segregation, (NSCS-FS), proved its efficacy by solving five benchmark constrained multi-objective problems i.e. OSY, TNK, BNH, SRN, CONSTR and five unconstrained benchmark problems i.e. FONSECA, KURSAWE, SCHAFFER1, SCHAFFER2, and ZDT3. Two circuit sizing problems, Low Noise Amplifier (LNA) and Operational Trans-conductance Amplifier (OTA) are solved by NSCS-FS to validate its efficiency in tackling real world engineering problems. Results show 22.41% and 1.8% improvement in Hyper-volume quality indicator in obtaining Pareto fronts for LNA and OTA respectively.