The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm. - Anand J. Kulkarni; René V. Mayorga (IICAI, 2005)

Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach. - Anand J. Kulkarni; Kang Tai (SMC, 2008)

Probability Collectives: A distributed optimization approach for constrained problems. - Anand Jayant Kulkarni; Kang Tai (IEEE Congress on Evolutionary Computation, 2010)

Probability Collectives: A multi-agent approach for solving combinatorial optimization problems. - Anand Jayant Kulkarni; Kang Tai (Appl. Soft Comput., 2010)

A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. - Anand J. Kulkarni; Kang Tai (Appl. Comput. Intell. Soft Comput., 2011)

Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach. - Anand J. Kulkarni; Kang Tai (Int. J. Comput. Intell. Appl., 2011)

Discrete optimization of truss structure using Probability Collectives. - Anand J. Kulkarni; Ishaan R. Kale; Kang Tai; S. Kazemzadeh Azad 001 (HIS, 2012)

A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives. - Anand J. Kulkarni; Neha S. Patankar; Amani Sandupatla; Kang Tai (HIS, 2012)

Constraint handling in Firefly Algorithm. - Aditya Milind Deshpande; Gaurav Mohan Phatnani; Anand J. Kulkarni (CYBCONF, 2013)

Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems. - Shubham J. Metkar; Anand J. Kulkarni (FICTA, 2013)

Cohort Intelligence: A Self Supervised Learning Behavior. - Anand J. Kulkarni; Ishan P. Durugkar; Mrinal Kumar 003 (SMC, 2013)

A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure. - Anand J. Kulkarni; Kang Tai (Agent-Based Optimization, 2013)

A hybrid approach for data clustering based on modified cohort intelligence and K-means. - Ganesh Krishnasamy; Anand J. Kulkarni; Paramesran Raveendran (Expert Syst. Appl., 2014)

Multi-criteria probability collectives. - Neha S. Patankar; Anand Jayant Kulkarni; Kang Tai; T. D. Ghate; A. R. Parvate (Int. J. Bio Inspired Comput., 2014)

Seed Disperser Ant Algorithm: An Evolutionary Approach for Optimization. - Wen Liang Chang; Jeevan Kanesan; Anand Jayant Kulkarni (EvoApplications, 2015)

Solution to Constrained Test Problems Using Cohort Intelligence Algorithm. - Apoorva S. Shastri; Priya S. Jadhav; Anand Jayant Kulkarni; Ajith Abraham (IBICA, 2015)

Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient. - Suhas Machhindra Gaikwad; Rahul Raghvendra Joshi; Anand Jayant Kulkarni (SEMCCO, 2015)

Probability Collectives - A Distributed Multi-agent System Approach for Optimization - Anand Jayant Kulkarni; Kang Tai; Ajith Abraham (Springer, 2015)

Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems. - Anand J. Kulkarni; Md. Fazle Baki; Ben A. Chaouch (Eur. J. Oper. Res., 2016)

Probability collectives for solving discrete and mixed variable problems. - Anand J. Kulkarni; Ishaan R. Kale; Kang Tai (Int. J. Comput. Aided Eng. Technol., 2016)

Constraint handling in probability collectives using a modified feasibility-based rule. - Anand J. Kulkarni; Neha S. Patankar; Kang Tai (Int. J. Comput. Sci. Eng., 2016)

Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm. - Anand J. Kulkarni; Hinna Shabir (Int. J. Mach. Learn. Cybern., 2016)

Data clustering using seed disperser ant algorithm. - Wen Liang Chang; Jeevan Kanesan; Anand Jayant Kulkarni; Harikrishnan Ramiah (Turkish J. Electr. Eng. Comput. Sci., 2017)

Ideology algorithm: a socio-inspired optimization methodology. - Teo Ting Huan; Anand J. Kulkarni; Jeevan Kanesan; Joon Huang Chuah; Ajith Abraham (Neural Comput. Appl., 2017)

Cohort Intelligence: A Socio-inspired Optimization Method - Anand Jayant Kulkarni; Ganesh Krishnasamy; Ajith Abraham (Springer, 2017)

Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology. - Apoorva S. Shastri; Anand J. Kulkarni (CoRR, 2018)

Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology. - Meeta Kumar; Anand J. Kulkarni; Suresh Chandra Satapathy (Future Gener. Comput. Syst., 2018)

JPEG based steganography methods using Cohort Intelligence with Cognitive Computing and modified Multi Random Start Local Search optimization algorithms. - Dipti Kapoor Sarmah; Anand J. Kulkarni (Inf. Sci., 2018)

Design of a fractional PIλDμ controller using the cohort intelligence method. - Pritesh Shah; Sudhir Agashe; Anand J. Kulkarni (Frontiers Inf. Technol. Electron. Eng., 2018)

Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm. - Shreesh V. Dhavle; Anand J. Kulkarni; Apoorva S. Shastri; Ishaan R. Kale (Neural Comput. Appl., 2018)

Cohort intelligence algorithm for discrete and mixed variable engineering problems. - Ishaan R. Kale; Anand J. Kulkarni (Int. J. Parallel Emergent Distributed Syst., 2018)

Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design. - Omkar Kulkarni; Ninad Kulkarni; Anand J. Kulkarni; Ganesh Kakandikar (Int. J. Parallel Emergent Distributed Syst., 2018)

Multi-Cohort Intelligence algorithm: an intra- and inter-group learning behaviour based socio-inspired optimisation methodology. - Apoorva S. Shastri; Anand J. Kulkarni (Int. J. Parallel Emergent Distributed Syst., 2018)

Variations of cohort intelligence. - Neha S. Patankar; Anand J. Kulkarni (Soft Comput., 2018)

Adaptive Range Genetic Algorithm: A hybrid optimization approach and its application in the design and economic optimization of Shell-and-Tube Heat Exchanger. - Vidyadhar H. Iyer; S. Mahesh; Rohit Malpani; Mandar Sapre; Anand J. Kulkarni (Eng. Appl. Artif. Intell., 2019)

Improved Cohort Intelligence - A high capacity, swift and secure approach on JPEG image steganography. - Dipti Kapoor Sarmah; Anand J. Kulkarni (J. Inf. Secur. Appl., 2019)

Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems. - Apoorva S. Shastri; Aniket Nargundkar; Anand J. Kulkarni (FICTA (2), 2020)

Pareto dominance based Multiobjective Cohort Intelligence algorithm. - Mukundraj V. Patil; Anand J. Kulkarni (Inf. Sci., 2020)

Multi-cohort intelligence algorithm for solving advanced manufacturing process problems. - Apoorva S. Shastri; Aniket Nargundkar; Anand J. Kulkarni; Kamal Kumar Sharma (Neural Comput. Appl., 2020)

Optimization Models in Steganography Using Metaheuristics - Dipti Kapoor Sarmah; Anand J. Kulkarni; Ajith Abraham (Springer, 2020)

Mesh smoothing of complex geometry using variations of cohort intelligence algorithm. - Mandar Sapre; Anand J. Kulkarni; Lakshmanan Chettiar; Ishani Deshpande; Bharat Piprikar (Evol. Intell., 2021)

A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems. - Ishaan R. Kale; Anand J. Kulkarni; Efrén Mezura-Montes (CoRR, 2022)

Multi-stopping criterion multi-feature-based multi-objective cohort intelligence algorithm for thermoacoustic engine optimisation. - Mukundraj V. Patil; Satish Kumar; Anand J. Kulkarni (Int. J. Model. Identif. Control., 2022)

Application of artificial neural network model in predicting profitability of Indian banks. - Zericho R. Marak; Dilip Ambarkhane; Anand J. Kulkarni (Int. J. Knowl. Based Intell. Eng. Syst., 2022)

Modified LAB Algorithm with Clustering-based Search Space Reduction Method for solving Engineering Design Problems. - Ruturaj Reddy; Utkarsh Gupta; Ishaan R. Kale; Apoorva S. Shastri; Anand J. Kulkarni (CoRR, 2023)

Solution to Advanced Manufacturing Process Problems using Cohort Intelligence Algorithm with Improved Constraint Handling Approaches. - Aniket Nargundkar; Madhav Rawal; Aryaman Patel; Anand J. Kulkarni; Apoorva S. Shastri (CoRR, 2023)

Application of cohort intelligence algorithm for goal programming problems with improved constraint handling method. - Aniket Nargundkar; Anand J. Kulkarni (Int. J. Bio Inspired Comput., 2023)

LAB: a leader-advocate-believer-based optimization algorithm. - Ruturaj Reddy; Anand J. Kulkarni; Ganesh Krishnasamy; Apoorva S. Shastri; Amir H. Gandomi (Soft Comput., 2023)

Editorial: Metaheuristics for sustainable supply chain management. - Anand J. Kulkarni; Patrick Siarry (Eng. Appl. Artif. Intell., 2024)

The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators' effectiveness. - Ali Husseinzadeh Kashan; Somayyeh Karimiyan; Anand J. Kulkarni (Soft Comput., 2024)

Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures. - Deepak Kumar Jain 001; Shamimul Qamar; Saurabh Raj Sangwan; Weiping Ding 001; Anand J. Kulkarni (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Modified Leader-Advocate-Believer Algorithm with Clustering-Based Search Space Reduction Method for Solving Engineering Design Problems. - Ruturaj Reddy; Utkarsh Gupta; Ishaan R. Kale; Apoorva S. Shastri; Anand J. Kulkarni (SN Comput. Sci., 2024)

Snail Homing and Mating Search algorithm: a novel bio-inspired metaheuristic algorithm. - Anand J. Kulkarni; Ishaan R. Kale; Apoorva S. Shastri; Aayush Khandekar (Soft Comput., 2024)

Fig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm. - Anand J. Kulkarni; Isha Purnapatre; Apoorva S. Shastri (CoRR, 2025)