This paper analyses the adoption of energy-efficiency enhancing technologies by heterogeneous firms. The fact that energy use does not only cause external environmental costs through pollution, but also directly affects the profitability of the firm and hence its behaviour on input and output markets is taken for granted. It is demonstrated that the consideration of such market processes may ha...

We present the problem of planning mobile tours of inspectors on German motorways to enforce the payment of the toll for heavy good trucks. This is a special type of vehicle routing problem with the objective to conduct as good inspections as possible on the complete network. In addition, we developed a personalized crew rostering model, to schedule the crews of the tours. The planning of daily...

We applied a genetic algorithm to the nurse scheduling problem. To improve performance of the genetic algorithm, we suggested an efficient operator using a cost bit matrix. The experimental results showed that the suggested method generated a nurse scheduling faster in time and better in quality compared to a traditional genetic algorithm.

We applied genetic algorithm to nurse scheduling problem. For time complexity problem of genetic algorithm, we suggested efficient operators using a cost bit matrix of which each cell indicates any violation of constraints. A cell with 1 indicates that the corresponding assignment violates constraints and needs no further consideration. The experimental results showed that the suggested method ...

The Nurse scheduling problem (NSP) of this paper is to study and analyze the scheduling process in practice, and propose models and heuristics to improve both the process and the quality of the resulting schedule. Nurses should benefit from this study by having higher quality schedules while the employees in charge of scheduling should enjoy the positive benefits of an optimization tool to solv...

Nurse scheduling problem (NSPs) represents a diicult class of Multi-objective optimization problems consisting of a number of interfering objectives between the hospitals and individual nurses. The objective of this research is to investigate diiculties that occur during solution of NSP using Evolutionary Algorithms, in particular Genetic Algorithms (GA). As the solution method a population-les...

This paper proposes an effective mutation operator for Cooperative Genetic Algorithm (CGA) to be applied to a practical Nurse Scheduling Problem (NSP). NSP is a complex combinatorial optimizing problem for which many requirements must be considered. The changes of the shift schedule yields various problems, for example, a drop in the nursing level. The author describes a technique of the reopti...