10.1109/PMAPS.2010.55290042010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2010632-63
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...
This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated...
This chapter looks at evolutionary generator maintenance scheduling in power system
NoThe effective maintenance scheduling of power system generators is very important for the economic...
Proposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid appro...
In this paper, Generator Maintenance Scheduling (GMS) in a vertically integrated power system is con...
New Artificial Intelligence (AI) approaches such as simulated annealing, genetic algorithms, simulat...
Genetic algorithms become popular as a powerful optimisation tool suitable for a variety of problems...
Generation scheduling (GS) in power systems is a tough optimisation problem which continues to prese...
A modified discrete particle swarm optimisation (MDPSO) algorithm to generate optimal preventive mai...
The solution of generation scheduling (GS) problems involves the determination of the unit commitmen...
This paper presents a genetic algorithm (GA) approach for solving the generators scheduling problem ...
The generation and transmission maintenance scheduling (GTMS) problem, in a competitive electricity ...
The effective maintenance scheduling of power system generators is very important to a power utilit...
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...
This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated...
This chapter looks at evolutionary generator maintenance scheduling in power system
NoThe effective maintenance scheduling of power system generators is very important for the economic...
Proposes the application of a genetic algorithm (GA) and simulated annealing (SA) based hybrid appro...
In this paper, Generator Maintenance Scheduling (GMS) in a vertically integrated power system is con...
New Artificial Intelligence (AI) approaches such as simulated annealing, genetic algorithms, simulat...
Genetic algorithms become popular as a powerful optimisation tool suitable for a variety of problems...
Generation scheduling (GS) in power systems is a tough optimisation problem which continues to prese...
A modified discrete particle swarm optimisation (MDPSO) algorithm to generate optimal preventive mai...
The solution of generation scheduling (GS) problems involves the determination of the unit commitmen...
This paper presents a genetic algorithm (GA) approach for solving the generators scheduling problem ...
The generation and transmission maintenance scheduling (GTMS) problem, in a competitive electricity ...
The effective maintenance scheduling of power system generators is very important to a power utilit...
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...
This paper presents a hybrid technique for solving the generation maintenance scheduling coordinated...