Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems

A multi-objective memetic inverse solver reinforced by local optimization methods

“…The current paper extends the first computational experiments contained in [18] and published in [19].…”

“…The approach presented in Section 1.2 was briefly introduced in [17]. The current paper extends the first computational experiments contained in [18] and published in [19].…”

“…We allowed the leaf populations to run the local optimization only once. To provide a comparison with the computations described in [19], the simulations were executed five times and the stopping conditions were set to obtain the same average number of objective calls as in the previous case. Other HMS execution parameters are summarized in Table 2.…”

“…In paper [19] we used MO-HMS strategy exploiting only evolutionary searches. In the current paper we advance the local search abilities through the use of a gradient-based local optimization method.…”

“…1). In this paper, we propose a multiobjective selection operator that builds on the Pareto-dominance ranking procedure introduced in MOGA [21] and on the rank modification idea which was originally presented in [18,19].…”