细节
识别号
stcompfyp:64
题名
An investigation of performance on two phase local search and multi-objective ant colony optimization
作品类型
Final Year Project/Work
系列 / 集 / 库
S&T Best Computing Projects
创建者
Leung, Chun Wa 梁俊華 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
学院 / 部门
School of Science and Technology (S&T) 
课程
Bachelor of Computing with Honours in Internet Technology
日期
2017
摘要
Three objectives were carried out to come up with the project. First, introduce hybrid paradigms of Two Phase local search (TPLS) and multi-objective ant colony optimization (MOACO). Second, implement the Iterated Local Search – Variable Neighborhood Search (ILS-VNS) as the first phase in TPLS; and then, to investigate the performance of proposed algorithm with different settings of local search choice and population size.
资料类型
PDF
语言
English
资料描述
2 pages.
奖项
Champion, Final Year Project (FYP) Competition (14th), 2017 (IEEE(HK) Computational Intelligence Chapter, Institute of Electrical and Electronics Engineers Hong Kong Section)
关键词
algorithms; Two-phase local search (TPLS); Multi-objective ant colony optimization (MOACO)
存取限制
Public Access
固定连结