Multiobjective Tabu Search Algorithms for Optimal Design of Electromagnetic Devices
Sara Carcangiu, Alessandra Fanni, Augusto Montisci · IEEE Transactions on Magnetics · 2008
In this paper, an original algorithm to solve multiobjective optimization problems, which makes use of the tabu search meta-heuristic, is presented. Scalarization of the vector problem is performed by introducing fitness functions that take under control both the Pareto optimality of the solutions, and the uniformity in the Pareto front sampling. The performance of the proposed algorithm is compared with that of a scalar tabu search method, coupled with the -constraint strategy. The results on analytical and electromagnetic problems demonstrate the effectiveness of the method.