MODA metaheuristic: evaluation and application to CCII sizing
Mouna Kotti, Nizar Dhahri, Mourad Fakhfakh, Bachir Benhala · 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) · 2020
This paper presents a study and an adaptation of a new nature-inspired multi-objective metaheuristic algorithm, entitled the multi-objective Dragonfly Algorithm (MODA), to the optimal design of analog circuits. First, the MODA algorithm is tested, validated and compared to another metaheuristic algorithm thru test functions without/with constraints. Performance metrics are used to show the convergence accuracy to the Pareto solutions with highly uniform distribution. In the second part, the algorithm is used to optimize the performance of an analog circuit, namely a second-generation current conveyor. Comparison between MODA performances and those obtained using the MOPSO metaheuristic is provided to show potentialities of the proposed algorithm. Spice Simulations demonstrate the merits of the MODA algorithm in analog circuit design sizing.