Although the traditional permute matrix coming along with Hopfield is able to describe many common problems, it seems to have limitation in solving more complicated problem with more constrains, like resource leveling which is actually a NP problem. This paper tries to find a better solution for it by using neural network. In order to give the neural network description of resource leveling pro...

This paper focuses on solving a typical multi-mode resource leveling problem, in which activity duration depends on committed resources, project deadlines and other constraints. To solve this problem, we establish a multi-objective model to minimize project duration, resource requirements and resource variance. Based on the established model, a novel Elitist Vector Evaluated Particle Swarm Opti...

In the real world, projects are subject to numerous uncertainties at different levels of planning. Fuzzy project scheduling is one of the approaches that deal with uncertainties in project scheduling problem. In this paper, we provide a new technique that keeps uncertainty at all steps of the modelling and solving procedure by considering a fuzzy modelling of the workload inspired from the fuzz...

The problem of scheduling activities dynamic for a project, within the available resources and adhering to precedence relationships is NP hard combinatorial. Traditional approaches and their extensions are limited in application for simultaneous scheduling of resources with leveling. Considering the need for improved modeling and scheduling techniques, this paper proposes the use of Petrinet ba...

Actual research projects in the field of wireless communication systems focus on distributed, heterogeneous architectures for advanced Sensor-Actor-Networks (SANETs). Each subsystem provides specific capabilities for measuring or manipulating its environment. At the same time, a huge amount of sensor, status and control data has to be transmitted over different network interfaces and communicat...