نتایج جستجو برای: due dates completion time genetic algorithm ga
تعداد نتایج: 3659140 فیلتر نتایج به سال:
Image segmentation is the technique in which an image into meaningful parts .It plays an important role in the image analysis and computer version. GA algorithm are evolutionary in nature so, it proved to be very time consuming. So, to overcome the limitation of the GA based on the multilevel thresholding, Ant Colony based Optimization on multilevel thresholding segmentation algorithm will be p...
Projects scheduling by the project portfolio selection, something that has its own complexity and its flexibility, can create different composition of the project portfolio. An integer programming model is formulated for the project portfolio selection and scheduling.Two heuristic algorithms, genetic algorithm (GA) and simulated annealing (SA), are presented to solve the problem. Results of cal...
The Single Machine Scheduling (SMS) problem is one of the most representative problems in the scheduling area. In this paper, we explore the SMS with time constraints (setup times and due-dates) and the objective function is the minimization of total tardiness. The chosen method is based on a hybrid-genetic algorithm, which belongs to the memetic algorithms class. Results are compared against g...
In this research, a truck scheduling problem for cross-docking system with multiple receiving and shipping docks is studied. Until recently, single-dock problems are studied mostly. This research focused on the multiple-dock problems. The objective of to determine best docking sequences inbound outbound trucks docks, respectively, which minimize maximal completion time. We propose new hybrid ge...
We consider a general class of multiprocessor shop scheduling problems, preemptive or nonpreemptive, with precedence constraints between operations, with job or operation release dates, and with a class of objective functions including weighted sums of job, operations and stage completion times. We present a general approximation method combining a linear programming relaxation in the operation...
in this study simulation and optimization of an industrial acetylene hydrogenation reactor was studied. three well known kinetic models were used for a nearly similar catalyst to predict the industrial data. due to the complexity of the reactions, none of the offered kinetic models could be considered as an exact kinetic model and it is necessary to determine the kinetic parameters. one of the ...
Pneumatic Artificial Muscle (PAM) actuator has been widely used in medical and rehabilitation robots, owing to its high power-to-weight ratio and inherent safety characteristics. However, the PAM exhibits highly non-linear and time variant behavior, due to compressibility of air, use of elastic-viscous material as core tube and pantographic motion of the PAM outer sheath. It is difficult to obt...
A task that suspends itself to wait for an I/O completion or to wait for an event from another node in distributed environments is called an I/O blocking task. Conventional hard real-time scheduling theories use framework of rate monotonic analysis (RMA) to schedule such I/O blocking tasks. However, most of them are pessimistic. In this paper, we propose effective algorithms that can schedule a...
In this article, equipment overhaul is considered in a multi-stage flow shop scheduling problem. problem, the equipments are disassembled first stage, and repairs done on parallel workshops second assembly operation third stage. Considering three-stage with machines stages new industry. The sequence of processing determined as well allocation should be such way that total completion time jobs m...
Abstract: One of the equipment that can help improve distribution system status today and reduce the cost of fault time is remote control switches (RCS). Finding the optimal location and number of these switches in the distribution system can be modeled with various objective functions as a nonlinear optimization problem to improve system reliability and cost. In this article, a particle swarm ...
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