【作者单位】1 Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China; Department of Computer Science, Jilin Business and Technology College, Changchun 130062, China.; 2 Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China.; 3 Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun 130012, China
【摘要】 In this paper, we present a hybrid optimisation algorithm with particle swarm optimisation (PSO) and ant colony optimisation (ACO). Unlike the conventional ACO or PSO, the new optimisation scheme makes full use of the attributes of both algorithms. I...
