# Anand Jayant Kulkarni

According to our database

Collaborative distances:

^{1}, Anand Jayant Kulkarni authored at least 30 papers between 2005 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Variations of cohort intelligence.

Soft Comput., 2018

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

Neural Computing and Applications, 2018

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

Frontiers of IT & EE, 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 Generation Comp. Syst., 2018

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

CoRR, 2018

2017

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 Computing and Applications, 2017

2016

Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm.

Int. J. Machine Learning & Cybernetics, 2016

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

IJCSE, 2016

Probability collectives for solving discrete and mixed variable problems.

IJCAET, 2016

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

European Journal of Operational Research, 2016

Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design.

CoRR, 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

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

2014

Multi-criteria probability collectives.

IJBIC, 2014

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

Expert Syst. Appl., 2014

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

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

Discrete optimization of truss structure using Probability Collectives.

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

2011

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

International Journal of Computational Intelligence and Applications, 2011

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

Applied Comp. Int. Soft Computing, 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