Work place: Dept. of Information Technology, Pondicherry Engineering College, Puducherry-605 014, India

E-mail: kanmani@pec.edu


Research Interests: Computational Science and Engineering, Software, Software Engineering, Data Mining


Dr. S. Kanmani received her B.E and M.E in Computer Science and Engineering from Bharathiyar University and Ph.D. from Anna University, Chennai. She had been the faculty of Department of Computer Science and Engineering, Pondicherry Engineering College from 1992 onwards. Presently she is Professor in Department of Information Technology, Pondicherry Engineering College, Puducherry. Her research interests are Software Engineering, Software Testing, Object-Oriented System, and Data Mining. She is Member of Computer Society of India, ISTE and Institute of Engineers, India. She has published about 50 papers in various International conferences and journals.

Author Articles
Dynamic Vehicle Routing Problem: Solution by Ant Colony Optimization with Hybrid Immigrant Schemes

By Dhanya K.M. S.Kanmani

DOI: https://doi.org/10.5815/ijisa.2017.07.06, Pub. Date: 8 Jul. 2017

During past decades, several Meta-Heuristics were considered by researchers to solve Dynamic Vehicle Routing Problem.In this paper, Ant Colony Optimization integrated with Hybrid Immigrant Schemes methods are proposed for solving Dynamic Vehicle Routing Problem. Ant Colony Optimization with hybrid immigrant schemes methods namely HIACO-I, HIACO-II and HIACO-III focused on establishing the proper balance between intensification and diversification. The performance evaluation of the algorithms in which Random Immigrants and Elitism based Immigrants were hybridized in different proportions and added to Ant Colony Optimization algorithm showed that they had produced better results in many dynamic test cases generated from three Vehicle Routing Problem instances.

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