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Dr Anand J Kulkarni
Dr Anand J Kulkarni
Professor & Associate Director, Institute of Artificial Intelligence, Dr Vishwanath Karad MIT World
Verified email at ntu.edu.sg - Homepage
Title
Cited by
Cited by
Year
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology
M Kumar, AJ Kulkarni, SC Satapathy
Future Generation Computer Systems 81, 252-272, 2018
1792018
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
1282013
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
1262014
Solving 0–1 knapsack problem using cohort intelligence algorithm
AJ Kulkarni, H Shabir
International Journal of Machine Learning and Cybernetics 7, 427-441, 2016
1122016
Probability collectives: a multi-agent approach for solving combinatorial optimization problems
AJ Kulkarni, K Tai
Applied Soft Computing 10 (3), 759-771, 2010
952010
Ideology Algorithm: A Socio-inspired Optimization Methodology
AA Teo Ting Huan, Anand J Kulkarni, Jeevan Kanesan, Chua Joon Huang
Neural Computing and Applications, 2016
78*2016
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
722016
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
642016
Adaptive range genetic algorithm: a hybrid optimization approach and its application in the design and economic optimization of shell-and-tube heat exchanger
VH Iyer, S Mahesh, R Malpani, M Sapre, AJ Kulkarni
Engineering Applications of Artificial Intelligence 85, 444-461, 2019
602019
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
562018
Cohort intelligence: a socio-inspired optimization method
AJ Kulkarni, G Krishnasamy, A Abraham
Springer International Publishing, 2017
552017
Cohort intelligence algorithm for discrete and mixed variable engineering problems
IR Kale, AJ Kulkarni
International Journal of Parallel, Emergent and Distributed Systems 33 (6 …, 2018
402018
Variations of cohort intelligence
NS Patankar, AJ Kulkarni
Soft Computing 22 (6), 1731-1747, 2018
392018
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
352018
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
342019
Multi-cohort intelligence algorithm: an intra-and inter-group learning behaviour based socio-inspired optimisation methodology
AS Shastri, AJ Kulkarni
International Journal of Parallel, Emergent and Distributed Systems 33 (6 …, 2018
302018
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
302018
design of fractional pid controller using cohort intelligence method
AK Pritesh Shah, Sudhir Agashe
Frontiers of Information Technology & Electronic Engineering, 2017
30*2017
Multi-cohort intelligence algorithm for solving advanced manufacturing process problems
AS Shastri, A Nargundkar, AJ Kulkarni, KK Sharma
Neural Computing and Applications 32, 15055-15075, 2020
292020
Metaheuristic algorithms in industry 4.0
P Shah, R Sekhar, AJ Kulkarni, P Siarry
CRC Press, 2021
282021
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