# Anand Jayant Kulkarni

According to our database

Collaborative distances:

^{1}, Anand Jayant Kulkarni authored at least 39 papers between 2005 and 2020.Collaborative distances:

## Timeline

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## Bibliography

2020

Intelligent Systems Reference Library 187, Springer, ISBN: 978-3-030-42043-7, 2020

Multi-cohort intelligence algorithm for solving advanced manufacturing process problems.

Neural Comput. Appl., 2020

Inf. Sci., 2020

Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems.

Proceedings of the Intelligent Data Engineering and Analytics, 2020

2019

Improved Cohort Intelligence - A high capacity, swift and secure approach on JPEG image steganography.

J. Inf. Secur. Appl., 2019

Adaptive Range Genetic Algorithm: A hybrid optimization approach and its application in the design and economic optimization of Shell-and-Tube Heat Exchanger.

Eng. Appl. Artif. Intell., 2019

2018

Soft Comput., 2018

Multi-Cohort Intelligence algorithm: an intra- and inter-group learning behaviour based socio-inspired optimisation methodology.

Int. J. Parallel Emergent Distributed Syst., 2018

Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design.

Int. J. Parallel Emergent Distributed Syst., 2018

Cohort intelligence algorithm for discrete and mixed variable engineering problems.

Int. J. Parallel Emergent Distributed Syst., 2018

Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm.

Neural Comput. Appl., 2018

Frontiers Inf. Technol. Electron. Eng., 2018

JPEG based steganography methods using Cohort Intelligence with Cognitive Computing and modified Multi Random Start Local Search optimization algorithms.

Inf. Sci., 2018

Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology.

Future Gener. Comput. Syst., 2018

Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology.

CoRR, 2018

2017

Intelligent Systems Reference Library 114, Springer, ISBN: 978-3-319-44254-9, 2017

Neural Comput. Appl., 2017

2016

Int. J. Mach. Learn. Cybern., 2016

Constraint handling in probability collectives using a modified feasibility-based rule.

Int. J. Comput. Sci. Eng., 2016

Int. J. Comput. Aided Eng. Technol., 2016

Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems.

Eur. J. Oper. Res., 2016

2015

Probability Collectives - A Distributed Multi-agent System Approach for Optimization

Intelligent Systems Reference Library 86, Springer, ISBN: 978-3-319-16000-9, 2015

Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient.

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2015

Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2015

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014

Int. J. Bio Inspired Comput., 2014

A hybrid approach for data clustering based on modified cohort intelligence and K-means.

Expert Syst. Appl., 2014

2013

A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure.

Proceedings of the Agent-Based Optimization, 2013

Proceedings of the IEEE International Conference on Systems, 2013

Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems.

Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2013, 2013

Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

2012

A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives.

Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011

Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach.

Int. J. Comput. Intell. Appl., 2011

A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization.

Appl. Comput. Intell. Soft Comput., 2011

2010

Probability Collectives: A multi-agent approach for solving combinatorial optimization problems.

Appl. Soft Comput., 2010

Probability Collectives: A distributed optimization approach for constrained problems.

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2008

Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach.

Proceedings of the IEEE International Conference on Systems, 2008

2005

The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm.

Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005