Dr Anand J Kulkarni
Dr Anand J Kulkarni
Symbiosis Institute of Technology, Symbiosis International (Deemed University)
Verified email at ntu.edu.sg - Homepage
Cited by
Cited by
A hybrid approach for data clustering based on modified cohort intelligence and K-means
G Krishnasamy, AJ Kulkarni, R Paramesran
Expert Systems with Applications 41 (13), 6009-6016, 2014
Probability collectives: a multi-agent approach for solving combinatorial optimization problems
AJ Kulkarni, K Tai
Applied Soft Computing 10 (3), 759-771, 2010
Solving 0–1 knapsack problem using cohort intelligence algorithm
AJ Kulkarni, H Shabir
International Journal of Machine Learning and Cybernetics 7 (3), 427-441, 2016
Cohort intelligence: a self supervised learning behavior
AJ Kulkarni, IP Durugkar, M Kumar
2013 IEEE international conference on systems, man, and cybernetics, 1396-1400, 2013
Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems
AJ Kulkarni, MF Baki, BA Chaouch
European Journal of Operational Research 250 (2), 2016
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology
M Kumar, AJ Kulkarni, SC Satapathy
Future Generation Computer Systems 81, 252-272, 2018
Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm
SV Dhavle, AJ Kulkarni, A Shastri, IR Kale
Neural Computing and Applications, 1-15, 2016
Cohort intelligence: a socio-inspired optimization method
AJ Kulkarni, G Krishnasamy, A Abraham
Springer International Publishing, 2017
Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design
O Kulkarni, N Kulkarni, AJ Kulkarni, G Kakandikar
International Journal of Parallel, Emergent and Distributed Systems 33 (6 …, 2018
Probability collectives: a decentralized, distributed optimization for multi-agent systems
AJ Kulkarni, K Tai
Applications of Soft Computing, 441-450, 2009
Probability collectives: a distributed optimization approach for constrained problems
AJ Kulkarni, K Tai
IEEE Congress on Evolutionary Computation, 1-8, 2010
Probability collectives for decentralized, distributed optimization: a collective intelligence approach
AJ Kulkarni, K Tai
2008 IEEE International Conference on Systems, Man and Cybernetics, 1271-1275, 2008
Structural Optimization using a Mutation-based Genetic Algorithm
AJ Azad, S.K., Azad, S.K., Kulkarni
International Journal of Optimization in Civil Engineering 2 (1), 21, 2012
Image steganography capacity improvement using cohort intelligence and modified multi-random start local search methods
DK Sarmah, AJ Kulkarni
Arabian Journal for Science and Engineering 43 (8), 3927-3950, 2018
JPEG based steganography methods using cohort intelligence with cognitive computing and modified multi random start local search optimization algorithms
DK Sarmah, AJ Kulkarni
Information Sciences 430, 378-396, 2018
Ideology Algorithm: A Socio-inspired Optimization Methodology
AA Teo Ting Huan, Anand J Kulkarni, Jeevan Kanesan, Chua Joon Huang
Neural Computing and Applications, 2016
Solving constrained optimization problems using probability collectives and a penalty function approach
AJ Kulkarni, K Tai
International Journal of Computational Intelligence and Applications 10 (04 …, 2011
A probability collectives approach with a feasibility-based rule for constrained optimization
AJ Kulkarni, K Tai
Applied Computational Intelligence and Soft Computing 2011, 2011
Constraint handling in firefly algorithm
AM Deshpande, GM Phatnani, AJ Kulkami
Cybernetics (CYBCONF), 2013 IEEE International Conference on, 2013
Improved cohort intelligence—a high capacity, swift and secure approach on JPEG image steganography
DK Sarmah, AJ Kulkarni
Journal of information security and applications 45, 90-106, 2019
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