Variational quantum algorithms (VQAs) that estimate values of widely used physical quantities such as the rank, entropies, Bures fidelity and Fisher information mixed states are developed. In addition, variations these VQAs also adapted to perform other useful functions state learning approximate fractional inverses. The common theme shared by proposed is their cost all based on minimizing puri...

The optimal design of a plate-fin recuperator of a 200-kW microturbine was studied in this paper. The exergy efficiency, pressure drop and total cost were selected as the three important objective functions of the recuperator. Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm (NSGA-II) were respectively employed for single-objective and multi-objective optimizations. By opt...

this study investigates the coordination of production scheduling and maintenance planning in theflow shop scheduling environment. the problem is considered in a bi-objective form, minimizing themakespan as the production scheduling criterion and minimizing the system unavailability as themaintenance planning criterion. the time interval between consecutive maintenance activities as well as the...

In the various fields of disaster management, choosing the best location for the Emergency Support & Supply Service Centers (ESSSCs) and the survivability of the network that provides the links between ESSSCs and their environment has a great role to be paid enough attention. This paper introduces a graph based model to measure the survivability of the linking's network. By values computed for ...

A school timetabling problem is a challenging optimisation problem. set of subjects need to be assigned into class schedule while these are related both students and lecturers. The number required attend leads room’s capacity requirement. Moreover, the time assign any subject depends on lecturers’ availability. This paper aims minimize distance between classes for as they have move another room...

A robust performance problem is studied for discrete-time systems with norm-bounded uncertainties. The control performance is characterized in a determin-istic setting as the average value of a quadratic cost with respect to disturbances in l 2. For linear time-invariant systems, the average cost deened in this way reduces to the H 2 norm of the system transfer function. A robust control proble...

extensive research has been devoted to resource constrained project scheduling problem. however, little attention has been paid to problems where a certain time penalty must be incurred if activity preemption is allowed. in this paper, we consider the project scheduling problem of minimizing the total cost subject to resource constraints, earliness-tardiness penalties and preemption penalties, ...

Two variants of genetic algorithm (GA) for solving the Supply Management Problem with Lower-Bounded Demands (SMPLD) are proposed and experimentally tested. The SMPLD problem consists in planning the shipments from a set of providers to a set of consumers minimizing the total cost, given lower and upper bounds on shipment sizes, lower-bounded consumption and linear costs for opened deliveries. T...

For real world railroad networks, we consider minimizing operational cost of train schedules which depend on choosing different train types of diverse speed and cost. We develop a mixed integer linear programming model for this train scheduling problem. For practical problem sizes, it seems to be impossible to directly solve the model within a reasonable amount of time. However, suitable decomp...