Anand J. Kulkarni

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 34

Top Topics

Penalty Function

Constraint Handling

Optimization Algorithm

Top Venues

Int. J. Parallel Emergent Distributed Syst.

Neural Comput. Appl.

Publications

Ruturaj Reddy, Utkarsh Gupta, Ishaan R. Kale, Apoorva S. Shastri, Anand J. Kulkarni
Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems. SN Comput. Sci. 5 (4) (2024)
Ali Husseinzadeh Kashan, Somayyeh Karimiyan, Anand J. Kulkarni
The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators' effectiveness. Soft Comput. 28 (2) (2024)
Anand J. Kulkarni, Patrick Siarry
Editorial: Metaheuristics for sustainable supply chain management. Eng. Appl. Artif. Intell. 133 (2024)
Deepak Kumar Jain, Shamimul Qamar, Saurabh Raj Sangwan, Weiping Ding, Anand J. Kulkarni
Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23 (1) (2024)
Aniket Nargundkar, Madhav Rawal, Aryaman Patel, Anand J. Kulkarni, Apoorva S. Shastri
Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches. CoRR (2023)
Anand J. Kulkarni, Ishaan R. Kale, Apoorva S. Shastri, Aayush Khandekar
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm. CoRR (2023)
Aniket Nargundkar, Anand J. Kulkarni
Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method. Int. J. Bio Inspired Comput. 21 (2) (2023)
Ruturaj Reddy, Anand J. Kulkarni, Ganesh Krishnasamy, Apoorva S. Shastri, Amir H. Gandomi
LAB: a leader-advocate-believer-based optimization algorithm. Soft Comput. 27 (11) (2023)
Ruturaj Reddy, Utkarsh Gupta, Ishaan R. Kale, Apoorva S. Shastri, Anand J. Kulkarni
Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems. CoRR (2023)
Ruturaj Reddy, Anand J. Kulkarni, Ganesh Krishnasamy, Apoorva S. Shastri, Amir H. Gandomi
LAB: A Leader-Advocate-Believer Based Optimization Algorithm. CoRR (2022)
Zericho R. Marak, Dilip Ambarkhane, Anand J. Kulkarni
Application of artificial neural network model in predicting profitability of Indian banks. Int. J. Knowl. Based Intell. Eng. Syst. 26 (3) (2022)
Mukundraj V. Patil, Satish Kumar, Anand J. Kulkarni
Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation. Int. J. Model. Identif. Control. 40 (4) (2022)
Ishaan R. Kale, Anand J. Kulkarni, Efrén Mezura-Montes
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems. CoRR (2022)
Mandar Sapre, Anand J. Kulkarni, Lakshmanan Chettiar, Ishani Deshpande, Bharat Piprikar
Mesh smoothing of complex geometry using variations of cohort intelligence algorithm. Evol. Intell. 14 (2) (2021)
Apoorva S. Shastri, Aniket Nargundkar, Anand J. Kulkarni
Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems. FICTA (2) (2020)
Apoorva S. Shastri, Aniket Nargundkar, Anand J. Kulkarni, Kamal Kumar Sharma
Multi-cohort intelligence algorithm for solving advanced manufacturing process problems. Neural Comput. Appl. 32 (18) (2020)
Mukundraj V. Patil, Anand J. Kulkarni
Pareto dominance based Multiobjective Cohort Intelligence algorithm. Inf. Sci. 538 (2020)
Vidyadhar H. Iyer, S. Mahesh, Rohit Malpani, Mandar Sapre, Anand J. Kulkarni
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. 85 (2019)
Dipti Kapoor Sarmah, Anand J. Kulkarni
Improved Cohort Intelligence - A high capacity, swift and secure approach on JPEG image steganography. J. Inf. Secur. Appl. 45 (2019)
Ishaan R. Kale, Anand J. Kulkarni
Cohort intelligence algorithm for discrete and mixed variable engineering problems. Int. J. Parallel Emergent Distributed Syst. 33 (6) (2018)
Neha S. Patankar, Anand J. Kulkarni
Variations of cohort intelligence. Soft Comput. 22 (6) (2018)
Meeta Kumar, Anand J. Kulkarni, Suresh Chandra Satapathy
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology. Future Gener. Comput. Syst. 81 (2018)
Pritesh Shah, Sudhir Agashe, Anand J. Kulkarni
Design of a fractional PIλDμ controller using the cohort intelligence method. Frontiers Inf. Technol. Electron. Eng. 19 (3) (2018)
Dipti Kapoor Sarmah, Anand J. Kulkarni
JPEG based steganography methods using Cohort Intelligence with Cognitive Computing and modified Multi Random Start Local Search optimization algorithms. Inf. Sci. 430 (2018)
Shreesh V. Dhavle, Anand J. Kulkarni, Apoorva S. Shastri, Ishaan R. Kale
Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm. Neural Comput. Appl. 30 (1) (2018)
Apoorva S. Shastri, Anand J. Kulkarni
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology. CoRR (2018)
Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar
Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design. Int. J. Parallel Emergent Distributed Syst. 33 (6) (2018)
Apoorva S. Shastri, Anand J. Kulkarni
Multi-Cohort Intelligence algorithm: an intra- and inter-group learning behaviour based socio-inspired optimisation methodology. Int. J. Parallel Emergent Distributed Syst. 33 (6) (2018)
Teo Ting Huan, Anand J. Kulkarni, Jeevan Kanesan, Joon Huang Chuah, Ajith Abraham
Ideology algorithm: a socio-inspired optimization methodology. Neural Comput. Appl. 28 (S-1) (2017)
Anand J. Kulkarni, Neha S. Patankar, Kang Tai
Constraint handling in probability collectives using a modified feasibility-based rule. Int. J. Comput. Sci. Eng. 13 (4) (2016)
Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar
Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design. CoRR (2016)
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai
Probability collectives for solving discrete and mixed variable problems. Int. J. Comput. Aided Eng. Technol. 8 (4) (2016)
Anand J. Kulkarni, Hinna Shabir
Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm. Int. J. Mach. Learn. Cybern. 7 (3) (2016)
Anand J. Kulkarni, Md. Fazle Baki, Ben A. Chaouch
Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems. Eur. J. Oper. Res. 250 (2) (2016)
Ganesh Krishnasamy, Anand J. Kulkarni, Paramesran Raveendran
A hybrid approach for data clustering based on modified cohort intelligence and K-means. Expert Syst. Appl. 41 (13) (2014)
Aditya Milind Deshpande, Gaurav Mohan Phatnani, Anand J. Kulkarni
Constraint handling in Firefly Algorithm. CYBCONF (2013)
Shubham J. Metkar, Anand J. Kulkarni
Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems. FICTA (2013)
Anand J. Kulkarni, Ishan P. Durugkar, Mrinal Kumar
Cohort Intelligence: A Self Supervised Learning Behavior. SMC (2013)
Anand J. Kulkarni, Ishaan R. Kale, Kang Tai, S. Kazemzadeh Azad
Discrete optimization of truss structure using Probability Collectives. HIS (2012)
Anand J. Kulkarni, Neha S. Patankar, Amani Sandupatla, Kang Tai
A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives. HIS (2012)
Anand J. Kulkarni, Kang Tai
A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Appl. Comput. Intell. Soft Comput. 2011 (2011)
Anand J. Kulkarni, Kang Tai
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach. Int. J. Comput. Intell. Appl. 10 (4) (2011)
Anand J. Kulkarni, Kang Tai
Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach. SMC (2008)
Anand J. Kulkarni, René V. Mayorga
The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm. IICAI (2005)