Abstract—This paper presents a new solution to the thermal unit-commitment (UC) problem based on an integer-coded genetic algorithm (GA). The GA chromosome consists of a sequence of al-ternating sign integer numbers representing the sequence of opera-tion/reservation times of the generating units. The proposed coding achieves significant chromosome size reduction compared to the usual binary coding. As a result, algorithm robustness and execu-tion time are improved. In addition, generating unit minimum up and minimum downtime constraints are directly coded in the chro-mosome, thus avoiding the use of many penalty functions that usu-ally distort the search space. Test results with systems of up to 100 units and 24-h scheduling horizon are pr...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...
International audienceThis work proposes a hybrid genetic algorithm (GA) to address the unit commitm...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
Unit commitment is a complex decision-making process because of multiple constraints which must not ...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
Unit commitment is a complex decision-making process because of multiple con-straints which must not...
This paper presents a genetic approach for determining the priority order in the commitment of therm...
This paper presents a new genetic algorithm approach to solve the unit commitment problem in electri...
A genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the u...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
A novel strategy including a Priority List (PL) based method and a heuristic algorithm which is name...
NoA genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the...
This paper presents a new algorithm for solving unit commitment (UC) problems using a binary-real co...
The National Energy Policy Act of 1992 allows open access to transmission lines. The electric utilit...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...
International audienceThis work proposes a hybrid genetic algorithm (GA) to address the unit commitm...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
This paper presents and identifies alternative strategies with the advantages of Genetic Algorithm f...
Unit commitment is a complex decision-making process because of multiple constraints which must not ...
Unit commitment(UC) is one of the essential activities in power systems planning and operation that ...
Unit commitment is a complex decision-making process because of multiple con-straints which must not...
This paper presents a genetic approach for determining the priority order in the commitment of therm...
This paper presents a new genetic algorithm approach to solve the unit commitment problem in electri...
A genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the u...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...
A novel strategy including a Priority List (PL) based method and a heuristic algorithm which is name...
NoA genetic algorithm (GA) augmented with knowledge-based methods has been developed for solving the...
This paper presents a new algorithm for solving unit commitment (UC) problems using a binary-real co...
The National Energy Policy Act of 1992 allows open access to transmission lines. The electric utilit...
This paper presents a new algorithm based on integrating the use of genetic algorithms and tabu sear...
International audienceThis work proposes a hybrid genetic algorithm (GA) to address the unit commitm...
This paper presents a new algorithm based on integrating genetic algorithms, tabu search and simulat...