An artificial bee colony algorithm for the leaf-constrained minimum spanning tree problem

被引:316
作者
Singh, Alok [1 ]
机构
[1] Univ Hyderabad, Dept Comp & Informat Sci, Hyderabad 500046, Andhra Pradesh, India
关键词
Artificial bee colony algorithm; Constrained optimization; Leaf-constrained minimum spanning tree; Swarm intelligence; ABC ALGORITHM; OPTIMIZATION;
D O I
10.1016/j.asoc.2008.09.001
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Given an undirected, connected, weighted graph, the leaf-constrained minimum spanning tree (LCMST) problem seeks on this graph a spanning tree of minimum weight among all the spanning trees of the graph that have at least l leaves. In this paper, we have proposed an artificial bee colony (ABC) algorithm for the LCMST problem. The ABC algorithm is a new metaheuristic approach inspired by intelligent foraging behavior of honeybee swarm. We have compared the performance of our ABC approach against the best approaches reported in the literature. Computational results demonstrate the superiority of the new ABC approach over all the other approaches. The new approach obtained better quality solutions in shorter time. (c) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:625 / 631
页数:7
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