Application of Nature Inspired Algorithms for Decision Making of Small Businessmen
MLA Style: Banerjee Krishnadas, Das Anupam, Dhawa Sagar Kumar, Dr.Roy Chowdhury Dilip, Dr.Das Anirban "Application of Nature Inspired Algorithms for Decision Making of Small Businessmen" International Journal of Engineering Trends and Technology 66.3 (2018): 129-132.
APA Style:Banerjee Krishnadas, Das Anupam, Dhawa Sagar Kumar, Dr.Roy Chowdhury Dilip, Dr.Das Anirban (2018). Application of Nature Inspired Algorithms for Decision Making of Small Businessmen. International Journal of Engineering Trends and Technology, 66(3), 129-132.
The main aim of this paper is to present a decent optimal demand forecasting technique for the cause of survival and development of small entrepreneurs of daily Indian rural markets using nature inspired genetic algorithms. The paper tries to explore the various existing parameters of the targeted groups and analyze the same using Special Pareto Evolutionary Algorithm (SPEA) to present an optimized and effective technique for a better decision making in the prevalent uncertain environment. The 0-1 Knapsack problem is used as solution of the SPEA algorithm, methods and procedures for finding the minimal spanning tree in graphs and diagraphs, domination parameters problems
 Panigrahi,G., Das, A., Basu, K.,A Study Towards Building An Optimal Graph Theory Based Model For The Design Of Tourism Website, International Conference on Modeling, Optimization & Computing [ICMOC 2010], National Institute of Technology, Durgapur, India- Proceedings published in American Institute of Physics [AIP]
 Commission of the European Communities (2006), Communication from the commission on a European Programme for Critical Infrastructure.
 Cormen,T.H & al.(2009) Introduction to Algorithms,Third Edition MIT Press ISBN 0?262?03384?4.
 Guze ,S.(2014) Application of knapsack problem to reliability multi criteria optimization. Journal of Polish Safety and Reliability Association, Summer Safety and Relaibility Seminars.
 Guze,S.Smolarek,L.(2011).Methods for risk minimsingin the process of decision-making under uncertainty.Journal of Polish Safety and Reliability Association-JPSRA,Vol.2.
 Zizler,E .and Thiele,L.(1999) Multiobjective Evolutionary Algorithms: A comparative Case study and the Strength Pareto Approach.IEEE Transactions on Evolutionary Computation,VOL3.,NO.4. 257-271.
 Szlapczynska,J.(2013).Multicriteria EvolutionaryWeather Routing Algorithm in Practice.TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation VOL7.,NO.1. 61-65,Gdyna
 Parek. A,K(1991) Analysis of Greedy Heuristic for Finding Small Dominating,Sets In Graph Information  Processing Letters,Volume 39,Issue 5,pp.237
 Leeuwen,Van,J..Graph Algorithm Book.
Nature Inspired Algorithms, SPEA Algorithms, Dynamic Programming, Shortest path Problem