In this paper, we consider a general class of discrete-time optimal control problems subject to all-time-step constraints on the state and variables. The derivations gradient formulas for cost constraint functions constrained problem are rather involved. We present simple approach these based reversed automatic differentiation. On basis, numerical algorithm is developed solve problem. then cont...

Constrained multiobjective optimization problems (CMOPs) are challenging because of the difficulty in handling both multiple objectives and constraints. While some evolutionary algorithms have demonstrated high performance on most CMOPs, they exhibit bad convergence or diversity CMOPs with small feasible regions. To remedy this issue, article proposes a coevolutionary framework for constrained ...