Multiobjective Tabu Search Algorithms for Optimal Design of Electromagnetic Devices (original) (raw)

An original multiobjective optimization algorithm utilizing the tabu search meta-heuristic is proposed for the optimal design of electromagnetic devices. The algorithm incorporates a scalarization approach through fitness functions to enhance both Pareto optimality and uniformity in the Pareto front sampling. The performance of this new Multiobjective-TS algorithm is evaluated against a traditional scalar tabu search method and demonstrated effectiveness in solving analytical and electromagnetic problems, achieving a balance between solution diversity and computational efficiency.