Title :
An improved genetic algorithm of unit optimization problem
Author :
Ruikun Gong ; Xinze Wang ; Fuqiang Lu
Author_Institution :
Coll. of Electr. Eng., HeBei United Univ., Tangshan, China
Abstract :
Unit combination problem is very complicated. There are a lot of variable number and constraint condition. It is a high dimension, non-convex, discrete and nonlinear optimization problem. It is difficult to find the optimal solution in theory. This paper puts forward the improved genetic algorithm, that is combine the ALOPEX algorithm and genetic algorithm to solve the complex unit commitment problem.
Keywords :
concave programming; genetic algorithms; nonlinear programming; ALOPEX algorithm; discrete optimization; genetic algorithm; nonconvex optimization; nonlinear optimization; unit combination problem; unit optimization problem; ALOPEX; genetic algorithm; optimization-based unit commitment;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526060
