Anand Jayant Kulkarni

According to our database1, Anand Jayant Kulkarni authored at least 39 papers between 2005 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Optimization Models in Steganography Using Metaheuristics
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

Pareto dominance based Multiobjective Cohort Intelligence algorithm.
Inf. Sci., 2020

Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems.
Proceedings of the Intelligent Data Engineering and Analytics, 2020

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

Variations of cohort intelligence.
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

Design of a fractional PIλDμ controller using the cohort intelligence method.
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

Cohort Intelligence: A Socio-inspired Optimization Method
Intelligent Systems Reference Library 114, Springer, ISBN: 978-3-319-44254-9, 2017

Ideology algorithm: a socio-inspired optimization methodology.
Neural Comput. Appl., 2017

Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm.
Int. J. Mach. Learn. Cybern., 2016

Constraint handling in probability collectives using a modified feasibility-based rule.
Int. J. Comput. Sci. Eng., 2016

Probability collectives for solving discrete and mixed variable problems.
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

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

Solution to Constrained Test Problems Using Cohort Intelligence Algorithm.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2015

Seed Disperser Ant Algorithm: An Evolutionary Approach for Optimization.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Multi-criteria probability collectives.
Int. J. Bio Inspired Comput., 2014

A hybrid approach for data clustering based on modified cohort intelligence and K-means.
Expert Syst. Appl., 2014

A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure.
Proceedings of the Agent-Based Optimization, 2013

Cohort Intelligence: A Self Supervised Learning Behavior.
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

Constraint handling in Firefly Algorithm.
Proceedings of the 2013 IEEE International Conference on Cybernetics, 2013

A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

Discrete optimization of truss structure using Probability Collectives.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

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

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

Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach.
Proceedings of the IEEE International Conference on Systems, 2008

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