Title :
The Study on the Electric Network Planning Problem Based on the Ant Colony-Simulated Annealing Algorithm
Author :
Tu, Zhenyu ; Zeng, Xuan
Author_Institution :
Math & Comput. Sci. Dept., Jiangxi Inst. of Educ., Nanchang, China
Abstract :
This paper gives out an optimization model of the electric network planning problem; introduces a hybrid algorithm (The Ant Colony-Simulated Annealing Algorithm) which integrates the probability acceptance criteria of the Simulated Annealing Algorithm with the parallel search process of the Ant Colony System. Test results show that this algorithm can reach the global optimum point with a high rate of convergence speed and implement the planning of electric networks effectively.
Keywords :
optimisation; power distribution planning; ant colony-simulated annealing algorithm; convergence speed; electric network planning; global optimum point; hybrid algorithm; optimization model; probability acceptance; Ant colony optimization; Capacity planning; Computer networks; Convergence; Genetics; Network topology; Process planning; Simulated annealing; Substations; Technology planning; Ant Colony-Simulated Annealing Algorithm; convergence; electric network planning;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.102
