Title :
An evolutionary algorithm to solve the short-term electrical generation sheduling problem
Author :
Maturana, Jorge ; Riff, María-Cristina
Author_Institution :
Dept. of Comput. Sci., Univ. Tecnica Federico Santa Maria, Chile
Abstract :
We introduce an evolutionary algorithm to solve the short-term electrical generation scheduling problem (STEGS). This algorithm is based on a new nonbinary coding scheme that reduces drastically the search space. We also include a set of specialized operators that use exhaustively this representation.
Keywords :
binary codes; evolutionary computation; power generation scheduling; evolutionary algorithm; nonbinary coding; search space; short-term electrical generation sheduling; Algorithm design and analysis; Computer science; Costs; Evolutionary computation; Genetic algorithms; Mathematical model; Power generation; Processor scheduling; Simulated annealing; Testing;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299798
