Anand Jayant Kulkarni

Orcid: 0000-0001-6242-9492

According to our database1, Anand Jayant Kulkarni authored at least 53 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Snail Homing and Mating Search algorithm: a novel bio-inspired metaheuristic algorithm.
Soft Comput., September, 2024

Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems.
SN Comput. Sci., April, 2024

Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures.
ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2024

The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators' effectiveness.
Soft Comput., January, 2024

Editorial: Metaheuristics for sustainable supply chain management.
Eng. Appl. Artif. Intell., 2024

2023
LAB: a leader-advocate-believer-based optimization algorithm.
Soft Comput., June, 2023

Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method.
Int. J. Bio Inspired Comput., 2023

Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches.
CoRR, 2023

Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems.
CoRR, 2023

2022
Application of artificial neural network model in predicting profitability of Indian banks.
Int. J. Knowl. Based Intell. Eng. Syst., 2022

Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation.
Int. J. Model. Identif. Control., 2022

A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems.
CoRR, 2022

2021
Mesh smoothing of complex geometry using variations of cohort intelligence algorithm.
Evol. Intell., 2021

2020
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

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
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

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 Comput. Appl., 2017

Data clustering using seed disperser ant algorithm.
Turkish J. Electr. Eng. Comput. Sci., 2017

2016
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

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.
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

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.
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


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