redundancy types into the same system. Thus a new optimization problem arises for the standby system design. The problem … time-to-failure distributions of the system elements. A genetic algorithm is used as an optimization tool for solving the … formulated optimization problem. Examples are given to illustrate the considered problem and the proposed solution methodology. …

preserves its linearity even when used for optimization and, for such a reason, it can be adopted in simulation–optimization …

recently, the Omega ratio was thought to be computationally intractable, and research was focused on heuristic optimization … procedures. We have shown elsewhere that the Omega ratio optimization is equivalent to a linear program and hence can be solved … examine the worst-case Omega ratio optimization problem under three types of uncertainty – mixture distribution, box and …

This paper develops an innovative objectives-oriented approach with one evaluation model and three optimization models … CSSs from the organization’s perspective, the three optimization models maximize their total implementation value by …

maximize the utilization of their resources through continuous improvement and optimization techniques. We address a surgical …

This paper presents an iterative strategy to address the steady-state optimization of biochemical systems. In the … steady-state optimization problems with GMA models cannot be transformed into tractable convex formulations, but an iterative …

travel and improving the utilization of available seat capacity. Effective and efficient optimization technology that matches … systematically outline the optimization challenges that arise when developing technology to support ride-sharing and survey the …