This function seeks to maximize the minimum of manpower utilization rate between cells in different periods.
The above mentioned function seeks more efficient supplier selection for each part creating competition between suppliers.
In fact, this objective function seeks the uniformity of machine workload in different cells.
The multi-objective function seeks the minimum structural weight and transient dynamic response.
The use of an input function for quantitation of biological function seeks to reduce many effects due to systemic variations.
Objective function seeks to minimize the summation of total machine relocation cost, machine setup cost and inter-cell material handling cost.
As Greene, Caracelli and Graham (1989) explain, complementarity function "seeks elaboration, enhancement, illustration, clarification of the results from one method with the results from the other method" (p. 259).
The objective function seeks to minimize eight cost functions namely; holding cost, backorder cost, inter-cell material handling cost, maintenance and overhead cost of machines, machine relocation cost, salary cost, hiring cost and firing cost.
The objective function seeks to minimize total costs including machine constant, machine procurement, machine relocation, machine operation, inter-cell and intra-cell movement, overtime, shifting labors between cells and inventory holding.
With the help of artificial fish-swarm algorithm (AFSA), it optimizes the projection index function, seeks for the optimal projection direction, and improves AFSA with the application of self-adaptive artificial fish step and crowding factor.
