Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Abstract: Many-objective evolutionary algorithms (MaOEAs) often suffer a loss of selection pressure, hindering efficient exploration of Pareto-optimal regions. To address this problem, this paper ...
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