A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (MS) of electric generation units. The algorithm was developed, implemented and tested on an integrated model for the MS problem. The model. used two criteria: minimizing the total generator operating cost and levering the reserve. Each of the above criteria is used with the following constraints: maintenance completion, crew size, precedence, reserve and reserve constants. The performance of the Tabu search algorithm is promising. The Tabu search algorithm solved two power system problems, 4 units and 22 units. The implicit enumeration algorithm was used to check the validity and the quality of the Tabu search solution
The objective of this study is to propose a dynamic generator maintenance scheduling (GMS) algorithm...
This paper presents a fast heuristic approach to optimize staffing and scheduling of the workforce a...
Preventive maintenance schedules occurring in industry are often suboptimal with regard to maintenan...
A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (M...
The complexity of power systems is increasing as new generating units are added to power systems in ...
Abstract: In this paper, a new approach for maintenance scheduling of generating units of GENCOs in ...
In this paper, a challenging power system problem of effectively scheduling generating units for mai...
The Generator Maintenance and Operation Scheduling problem is presented as a large scale mixed integ...
Abstract: Planned maintenance scheduling is a major focus area for power utilities as they strive to...
The complexity of power systems is increasing as new generating units are added to power systems in...
Abstract Generation maintenance scheduling (GMS) is an important and effective part of Generation ex...
A modified discrete particle swarm optimisation (MDPSO) algorithm to generate optimal preventive mai...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
As many large-scale systems age, and due to budgetary and performance efficiency concerns, there is ...
Maintenance is crucial in any industry to keep components in a reasonable functionalcondition, espec...
The objective of this study is to propose a dynamic generator maintenance scheduling (GMS) algorithm...
This paper presents a fast heuristic approach to optimize staffing and scheduling of the workforce a...
Preventive maintenance schedules occurring in industry are often suboptimal with regard to maintenan...
A new heuristic algorithm based on the Tabu search has been proposed for the maintenance schedule (M...
The complexity of power systems is increasing as new generating units are added to power systems in ...
Abstract: In this paper, a new approach for maintenance scheduling of generating units of GENCOs in ...
In this paper, a challenging power system problem of effectively scheduling generating units for mai...
The Generator Maintenance and Operation Scheduling problem is presented as a large scale mixed integ...
Abstract: Planned maintenance scheduling is a major focus area for power utilities as they strive to...
The complexity of power systems is increasing as new generating units are added to power systems in...
Abstract Generation maintenance scheduling (GMS) is an important and effective part of Generation ex...
A modified discrete particle swarm optimisation (MDPSO) algorithm to generate optimal preventive mai...
Electric power systems worldwide are receiving an increasing volume of wind power generation (WPG) b...
As many large-scale systems age, and due to budgetary and performance efficiency concerns, there is ...
Maintenance is crucial in any industry to keep components in a reasonable functionalcondition, espec...
The objective of this study is to propose a dynamic generator maintenance scheduling (GMS) algorithm...
This paper presents a fast heuristic approach to optimize staffing and scheduling of the workforce a...
Preventive maintenance schedules occurring in industry are often suboptimal with regard to maintenan...