Details
Record ID
stcompfyp:64
Title
An investigation of performance on two phase local search and multi-objective ant colony optimization
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Leung, Chun Wa 梁俊華 (creator)
Ng, Sin Chun Vanessa 吳倩珍 (supervisor)
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Computing with Honours in Internet Technology
Date
2017
Abstract
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.
Type of Resource
PDF
Language
English
Physical Description
2 pages.
Awards
Champion, Final Year Project (FYP) Competition (14th), 2017 (IEEE(HK) Computational Intelligence Chapter, Institute of Electrical and Electronics Engineers Hong Kong Section)
Keywords
algorithms; Two-phase local search (TPLS); Multi-objective ant colony optimization (MOACO)
Access Eligibility
Public Access
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