Some modifications have been introduced to the original NSGA-II code to handle the constraints of the optimization problem.
In this paper we study a systematic networked control method designed specifically to handle the constraints of the networked realization of a linear time invariant control system.
In addition, we propose some extensions, such as the introduction of a mixed variational setting and its discretization, to handle the constraint on the divergence of the field.
This study also employs an enhanced particle swarm optimization (EPSO), which introduces a particle categorization mechanism to handle the constraints instead of the commonly used penalty method, to improve the computational efficiency of the optimization procedure.
Rather than a rigid inefficient and dysfunctional form that requires all circumstances to be handled within the constraints of the form, SAOs shift form (e.g. governance, leadership, organizational structure) to optimize solutions and effectiveness.
A simple, yet effective, adaptive penalty function is introduced to handle the inequality constraints of the problem.
The extensive simulation studies show that the proposed control scheme effectively handles the input constraints of the boiler-turbine unit and meets the required electrical demand without requiring careful selection of operating points.
The choice led to the unanticipated implications in adaptation of the cultivars to greenhouse growth conditions (notably in labs with no expertise in rice cultivation) and the constraints of handling several genetic backgrounds in functional investigations.
For further improvement, we adopt a model predictive control (MPC) scheme which is capable of handling the firing rate constraints directly; a simple MPC algorithm is implemented on a nonlinear simulation package, and significantly better results are achieved.
In addition to the above mentioned methods, there are other approaches of handling redundant constraints of a passive overconstrained PM, for example, the pseudo-inverse method [60] and the augmented Lagrangian formulation [61, 62].
