the major problem of wind turbines is the great variability of wind power production. the dynamic change of the wind speed returns the quantity of the power injected to networks. therefore, wind–thermal generation scheduling problem plays a key role to implement clean power producers in a competitive environment. in deregulated power systems, the scheduling problem has various objectives than i...

the problem of scheduling with multi agent has been studiedfor more than one decade and significant advances have been madeover the years. however, most work has paid more attention to the conditionthat machines are available during planning horizon. motivatedby the observations, this paper studies a two-agent scheduling modelwith multiple availability constraint. each agent aims at minimizing ...

A three stage production system is considered in this paper. There are two stages to fabricate and ready the parts and an assembly stage to assembly the parts and complete the products in this system. Suppose that a number of products of different kinds are ordered. Each product is assembled with a set of several parts. At first the parts are produced in the first stage with parallel machines a...

We have developed an architecture called MUSE (MultiUser Scheduling Environment) to enable the integration of multiobjective evolutionary algorithms with existing domain planning and scheduling tools. Our approach is intended to make it possible to re-use existing software, while obtaining the advantages of multi-objective optimization algorithms. This approach enables multiple participants to ...

Layered multicast is a scalable solution to data dissemination over the Internet. The performance of layered multicast hinges upon the transmission schedule. In this paper, we study the scheduling problem in the layered multicast context. This work generalizes the extensively studied multicast scheduling problem (layered and non-layered) by introducing simultaneously the data popularity and the...

This paper presents a novel bi-objective manpower scheduling problem that minimizes the penalty resulted from employees’ assignment at lower skill levels than their real skill and maximizes employees’ utility for working at a special skill level in some shifts or on some days. Employees are classified in two specialist groups and three skill levels in each specialization. In addition, the prese...

In this paper, we proposed an algorithm for solving the problem of task scheduling using particle swarm optimization algorithm, with changes in the Selection and removing the guide and also using the technique to get away from the bad, to move away from local extreme and diversity. Scheduling algorithms play an important role in grid computing, parallel tasks Scheduling and sending them to ...

Physician scheduling is the assignment of physicians to perform different duties in the hospital timetable. In this paper, the goals are to satisfy as many physicians’ preferences and duty requirements as possible while ensuring optimum usage of available resources. We present a mathematical programming model to represent the problem as a bi-objective optimization problem. Three different metho...

this paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. in the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). however,, two significant criteria for each schedule in stochastic models are: expectable m...

resource limitation in zero time may cause to some profitable projects not to be selected in project selection problem, thus simultaneous project portfolio selection and scheduling problem has received significant attention. in this study, budget, investment costs and earnings are considered to be stochastic. the objectives are maximizing net present values of selected projects and minimizing v...