Title :
Hybrid optimization algorithm of PSO and Cuckoo Search
Author :
Wang, Fan ; He, Xing-shi ; Luo, Ligui ; Wang, Yan
Author_Institution :
Sch. of Sci., Xi´´an Polytech. Univ., Xi´´an, China
Abstract :
By making use of the advantages of Cuckoo Search (CS) algorithm and Particle Swarm Optimization (PSO), a hybrid optimization algorithm of PSO and CS was proposed. By CS-PSO, the search area of PSO was extended, and the defect of PSO is easily fall into point of local extremum that was improved. The simulation experiment results show that CS-PSO hybrid algorithm is better.
Keywords :
particle swarm optimisation; CS; PSO; cuckoo search; hybrid optimization algorithm; particle swarm optimization; Automation; Computers; Educational institutions; IEEE Press; Neural networks; Optimization; Particle swarm optimization; CS-PSO hybrid algorithm; Cuckoo Search algorithm; PSO algorithm; global optimum; intelligent algorithm;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010750
