C
Chiranjib Sur
Researcher at Indian Institutes of Information Technology
Publications - 19
Citations - 174
Chiranjib Sur is an academic researcher from Indian Institutes of Information Technology. The author has contributed to research in topics: Optimization problem & Combinatorial optimization. The author has an hindex of 7, co-authored 19 publications receiving 157 citations. Previous affiliations of Chiranjib Sur include Indian Institute of Information Technology and Management, Gwalior.
Papers
More filters
Book ChapterDOI
Egyptian Vulture Optimization Algorithm – A New Nature Inspired Meta-heuristics for Knapsack Problem
TL;DR: A new nature inspired meta-heuristics algorithm called Egyptian Vulture Optimization Algorithm which primarily favors combinatorial optimization problems which is derived from the nature, behavior and key skills of the Egyptian Vultures for acquiring food for leading their livelihood.
Book ChapterDOI
Discrete Krill Herd Algorithm --- A Bio-Inspired Meta-Heuristics for Graph Based Network Route Optimization
Chiranjib Sur,Anupam Shukla +1 more
TL;DR: A discrete version of the Krill Herd Algorithm is described for the first time which is favorable for graph network based search and optimization problems and works on the principle of various random exploration schemes following some parameters which decides whether to include a node/edge or not.
Book ChapterDOI
Solving Travelling Salesman Problem Using Egyptian Vulture Optimization Algorithm – A New Approach
TL;DR: The results show that the Egyptian Vulture Optimization meta-heuristics has potential for deriving solution for the TSP combinatorial problem and it is found that the quality and perfection of the solutions for the datasets depend mainly on the number of dimensions when considerable for the same number of iterations.
Proceedings ArticleDOI
Multi-objective adaptive intelligent water drops algorithm for optimization & vehicle guidance in road graph network
TL;DR: Multi-Objective Intelligent Water Drops Algorithm (MO-IWDA) is applied for optimized route determination of the vehicle through all the underutilized paths available in a road graph exploiting optimization of dynamic parameter based path planning for the vehicle users.
Proceedings Article
Analysis & modeling multi-breeded Mean-Minded ant colony optimization of agent based Road Vehicle Routing Management
TL;DR: The results obtained showed that the ACO has been successful up to a certain extent in channeling the traffic in various routes of the system irrespective of its kind and considering the road network as a dynamic system with varying parameters, the vehicle distribution has been near uniform except fluctuations arising due to dynamicity error.