In recent years, an increasing interest in the use of artificial intelligence techniques in the area of industrial production planning and scheduling could be observed. Most of the developed systems addressed the problem of scheduling the production activities of a single plant. However, within many industrial enterprises the production processes are distributed over several manufacturing sites...

Nowadays, nurses scheduling is one of the most important challenges with which health care centers are encountered. The significance of nurses’ work quality has led researchers to be concerned about scheduling problems, which have an impact on nurses’ performance. Observing the interests of hospital and patients, providing their satisfaction, and meeting their needs are among the main objective...

A new scalable scheduling strategy using cut through switching is proposed in this paper. Recursive and closed form expressions for speedup are found in heterogeneous single level trees and in homogeneous multilevel trees, respectively. The ratio of speedup using cut through switching to that using store and forward switching is presented so as to illustrate the amount of improvement in speedup...

Genetic algorithm is one of the main heuristics that have been applied to scheduling problems in the last few decades. This paper presents a generalization of the genetic algorithm for solving project scheduling problem under time uncertainties within resource leveling technique. The generalization consists of handling fuzzy time parameter and fuzzy resource distribution instead of crisp ones. ...

The performance of contiguous allocation strategies can be significantly affected by the distribution of job execution times. In this paper, the performance of the existing contiguous allocation strategies for 3D mesh multicomputers is re-visited in the context of heavy-tailed distributions (e.g., a Bounded Pareto distribution). The strategies are evaluated and compared using simulation experim...

this paper presents a simplifiedlagrangian multiplier based algorithm to solve the fixed head hydrothermalscheduling problem. in fixed head hydrothermal scheduling problem, waterdischarge rate is modeled as quadratic function of hydropower generation andfuel cost is modeled as quadratic function of thermal power generation. thepower output of each hydro unit varies with the rate of water discha...