Prabhat Kumar Mahanti

Work place: Department of Computer Science & Applied Statistics, University of New Brunswick, Canada



Research Interests: Software Construction, Software Creation and Management, Software Engineering, Data Structures and Algorithms, Analysis of Algorithms, Mathematics of Computing


Prabhat Kumar Mahanti, male, is Professor of Dept of Applied Statistics (CSAS), University of New Brunswick Canada. He obtained his M.Sc. from IIT-Kharagpur, India, and Ph.D. from IIT-Bombay India. His research interests include Software engineering, software metrics, reliability modelling, modelling and simulation, numerical algorithms, finite elements, mobile and soft computing, verification of embedded software, neural computing, data mining, and multi-agent systems. He has more than 100 research papers, technical reports to his credit.

Author Articles
Application of Modified Ant Colony Optimization (MACO) for Multicast Routing Problem

By Sudip Kumar Sahana Mohammad AL-Fayoumi Prabhat Kumar Mahanti

DOI:, Pub. Date: 8 Apr. 2016

It is well known that multicast routing is combinatorial problem finds the optimal path between source destination pairs. Traditional approaches solve this problem by establishment of the spanning tree for the network which is mapped as an undirected weighted graph. This paper proposes a Modified Ant Colony Optimization (MACO) algorithm which is based on Ant Colony System (ACS) with some modification in the configuration of starting movement and in local updation technique to overcome the basic limitations of ACS such as poor initialization and slow convergence rate. It is shown that the proposed Modified Ant Colony Optimization (MACO) shows better convergence speed and consumes less time than the conventional ACS to achieve the desired solution.

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