计算机科学与探索2016，Vol.10Issue(5)：722-731,10.DOI:10.3778/j.issn.1673-9418.1506093
带混沌侦查机制的蚁狮优化算法优化SVM参数
Ant Lion Optimizer with Chaotic Investigation Mechanism for Optimizing SVM Parameters
摘要
Abstract
As ant lion optimizer (ALO) is a new bionic intelligence algorithm, there are a number of respects on the improvement and development. Since antlion’s population (species) has some poor-fitness individuals in basic ALO algorithm, the behavior of ants selecting those antlions for random walk will result in increasing the possibility of its trapping into local optima and impacting on the algorithm’s optimal performance. Considering this question, this paper proposes ant lion optimizer with chaotic investigation mechanism (CIALO), which draws experience from the investigation idea of artificial bee colony algorithm (ABC) and brings in chaos search mechanism based on the origi-nal information of antlions. The CIALO algorithm firstly defines poor-fitness individuals of the sorted antlions’popu-lation as investigative ant lions (IAL). Meanwhile, the original position information of these antlions is regarded as the initial value of Fuch chaotic mapping. Then it can gain a better-much position by a certain number of chaos search iter-ation and reassigns the position to IAL, which is beneficial to improve the superiority of antlion’s population and the optimal performance of the algorithm. Eventually, the CIALO algorithm is used to optimize the parameters of support vector machine (SVM). The public datasets from University of California Irvine (UCI) is employed for evaluating the proffered algorithm. The experimental results imply that the CIALO algorithm for optimizing SVM parameters has stronger optimal performance and better stability of the algorithm.关键词
蚁狮优化算法/混沌/侦查机制/支持向量机/参数优化Key words
ant lion optimizer/chaos/investigation mechanism/support vector machine/parameter optimization引用本文复制引用
赵世杰,高雷阜,于冬梅,徒君..带混沌侦查机制的蚁狮优化算法优化SVM参数[J].计算机科学与探索,2016,10(5):722-731,10.基金项目
The Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20132121110009(高等学校博士学科点专项科研基金) （高等学校博士学科点专项科研基金）
the Project of Liaoning Provincial Department of Education under Grant No. No.L2015208(辽宁省教育厅基金项目) （辽宁省教育厅基金项目）
