The proposed fuzzy-based particle swarm optimization (FPSO) algorithm aims at minimizing the operation cost, limiting the greenhouse gas (GHG) emissions and satisfying the technical and operational constraints of the ship.
Rate of Penetration (ROP) estimation is one of the main factors in drilling optimization and minimizing the operation costs.
Aimed at minimizing the operation costs for such a system, the simplified system optimization model is established and the optimal operation strategy is determined through inverse problem and variation method.
However, the parameter P DRmaxi can be properly scheduled to achieve some economic objectives, e.g. minimizing the operation costs.
The FARED problem aims at minimizing the operation cost while satisfying all the physical or technical constraints.
In [13], aiming at minimizing the operation cost, an energy storage capacity optimization model considering the abandoned energy of wind power and the energy loss of the energy storage is constructed.
The main contribution of this paper is presenting a new methodology based on two recent optimization algorithms; krill herd (KH) and ant lion optimizer (ALO) algorithms, for solving the optimal management of micro-grid such that minimizing the operation cost and pollutant emission.
To minimize the operations' impacts, the equipment will be stored at the nearby Tuscan port of Piombino.
When generating the timetable, it is also important for the operators to minimize the operation cost and build up the environmentally friendly timetable [66, 67, 68, 69, 70, 71].
From the distribution network operator's perspective, the decision-making strategy seeks to minimize the operation costs of distribution network operator.
