A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid technique uses simulated annealing as the main algorithm. At each temperature, fresh solutions are generated randomly, and with a high likelihood of being feasible. Local search is made in the neighborhood of the best solution, using a heuristic decommitment technique. The hybrid algorithm is robust and has improved convergence, compared with earlier algorithms. The results obtained in system studies indicate its potential for solving the unit commitment problem
International audienceThe unit commitment problem (UCP) for thermal units consists of finding an opt...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
In this paper, the authors present an approach combining the feedforward neural network and the simu...
A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid t...
A simulated annealing is combined with a tabu search, to develop a robust and powerful optimisation ...
Four hybrid algorithms has been developed for the solution of the unit commitment problem. They us...
We propose a new hybrid algorithm for solving the unit commitment problem (UCP). The algorithm integ...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP)...
This paper presents a Simulated Annealing Algorithm (SAA) to solve the Unit Commitment Problem (UCP)...
this paper, a Simulated Annealing approach to the Unit Commitment problem is presented. Two di#erent...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This thesis is devoted to the optimal commitment of generation units in an all-thermal, single or mu...
This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods...
This paper presents the solving unit commitment (UC) problem using Modified Subgradient Method (MSG)...
International audienceThe unit commitment problem (UCP) for thermal units consists of finding an opt...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
In this paper, the authors present an approach combining the feedforward neural network and the simu...
A hybrid algorithm has been developed for the solution of the unit commitment problem. This hybrid t...
A simulated annealing is combined with a tabu search, to develop a robust and powerful optimisation ...
Four hybrid algorithms has been developed for the solution of the unit commitment problem. They us...
We propose a new hybrid algorithm for solving the unit commitment problem (UCP). The algorithm integ...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This paper presents a simulated annealing algorithm (SAA) to solve the unit commitment problem (UCP)...
This paper presents a Simulated Annealing Algorithm (SAA) to solve the Unit Commitment Problem (UCP)...
this paper, a Simulated Annealing approach to the Unit Commitment problem is presented. Two di#erent...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This thesis is devoted to the optimal commitment of generation units in an all-thermal, single or mu...
This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods...
This paper presents the solving unit commitment (UC) problem using Modified Subgradient Method (MSG)...
International audienceThe unit commitment problem (UCP) for thermal units consists of finding an opt...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
In this paper, the authors present an approach combining the feedforward neural network and the simu...