On some uncertain Combinatorial Optimization Problems using soft computing Techniques
Completed
Role: Principal InvestigatorGrant: 1001(Sanc.)/ST/P/S&T/16G-13/2018 dated 05.08.2019
Development of Hybrid Soft Computing Methods and Their Applications in Optimization Problems: A real-life approach
Completed
Role: Principal InvestigatorGrant: PSW-150/14-15(ERO
Development of Soft Computing Techniques to Solve Real Life Inventory Control Problems: Special Attention to Indian Economy
Completed
Role: Principal InvestigatorGrant: PSW-146/09-10 (ERO
Modeling of some problems on production planning and inventory control; the soft computing approach
UniversityNational Institute of Technology Durgapur
Year2011
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Some Development of Soft Computing Methods For TSP Under Uncertain Optimization Paradigms
UniversityVidyasagar University
Year2017
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DEVELOPMENT OF SOME EVOLUTIONARY ALGORITHM FOR SOLVING COMBINATORIAL OPTIMIZATION PROBLEMS
UniversityVidyasagar University
Year2024
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Scholarly Publications
Remotely Data Acquisition In Precision Agriculture: A Secure Way Of Data Transmission
Journal Article
Authors: Arindam Roy
An Improved Genetic Algorithm and Its Application in Constrained Solid TSP in Uncertain Environments
Book Chapter
Year: 2015.
Authors: Arindam Roy
Constrained Solid Travelling Salesman Problem Solving by Rough GA Under Bi-Fuzzy Coefficients
Book Chapter
Year: 2015.
Authors: Arindam Roy
A Production Inventory Model in a Random Planning Horizon Incorporating Learning Effects on Inventory Costs Under Inflation and Time Value of Money via Genetic Algorithm
Journal Article
Year: 2014.
Authors: Arindam Roy
Two ware-house production inventory model for a deteriorating item with time-varying demand and shortages: a genetic algorithm with varying population size approach
.“ multi-item inventory model for two-stage production system with imperfect processes using Differential evolution and Credibility measure
Journal Article
Year: 2012.
Authors: Arindam Roy
A production inventory model with stock dependent demand incorporating learning and inflationary effect in a random planning horizon: A fuzzy genetic algorithm with varying population size approach