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Anand Jayant Kulkarni
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2020 – today
- 2024
- [j33]Anand J. Kulkarni, Patrick Siarry:
Editorial: Metaheuristics for sustainable supply chain management. Eng. Appl. Artif. Intell. 133: 108239 (2024) - [j32]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): 376 (2024) - [j31]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): 1073-1125 (2024) - [j30]Anand J. Kulkarni
Snail Homing and Mating Search algorithm: a novel bio-inspired metaheuristic algorithm. Soft Comput. 28(17-18): 10629-10668 (2024) - [j29]Deepak Kumar Jain, Shamimul Qamar
Ontology-Based Natural Language Processing for Sentimental Knowledge Analysis Using Deep Learning Architectures. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(1): 17:1-17:17 (2024) - 2023
- [j28]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): 94-105 (2023) - [j27]Ruturaj Reddy
LAB: a leader-advocate-believer-based optimization algorithm. Soft Comput. 27(11): 7209-7243 (2023) - [i7]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 abs/2310.03055 (2023) - [i6]Anand J. Kulkarni, Ishaan R. Kale, Apoorva S. Shastri, Aayush Khandekar:
Snail Homing and Mating Search Algorithm: A Novel Bio-Inspired Metaheuristic Algorithm. CoRR abs/2310.04020 (2023) - [i5]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 abs/2310.10085 (2023) - 2022
- [j26]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): 356-370 (2022) - [j25]Zericho R. Marak
Application of artificial neural network model in predicting profitability of Indian banks. Int. J. Knowl. Based Intell. Eng. Syst. 26(3): 159-173 (2022) - [i4]Ruturaj Reddy, Anand J. Kulkarni, Ganesh Krishnasamy, Apoorva S. Shastri, Amir H. Gandomi
LAB: A Leader-Advocate-Believer Based Optimization Algorithm. CoRR abs/2204.11049 (2022) - [i3]Ishaan R. Kale, Anand J. Kulkarni, Efrén Mezura-Montes:
A socio-physics based hybrid metaheuristic for solving complex non-convex constrained optimization problems. CoRR abs/2212.03711 (2022) - 2021
- [j24]Mandar Sapre
Mesh smoothing of complex geometry using variations of cohort intelligence algorithm. Evol. Intell. 14(2): 227-242 (2021) - 2020
- [b3]Dipti Kapoor Sarmah, Anand J. Kulkarni
Optimization Models in Steganography Using Metaheuristics. Intelligent Systems Reference Library 187, Springer 2020, ISBN 978-3-030-42043-7, pp. 1-166 - [j23]Mukundraj V. Patil
Pareto dominance based Multiobjective Cohort Intelligence algorithm. Inf. Sci. 538: 69-118 (2020) - [j22]Apoorva S. Shastri
Multi-cohort intelligence algorithm for solving advanced manufacturing process problems. Neural Comput. Appl. 32(18): 15055-15075 (2020) - [c12]Apoorva S. Shastri
Modified Multi-cohort Intelligence Algorithm with Panoptic Learning for Unconstrained Problems. FICTA (2) 2020: 145-153
2010 – 2019
- 2019
- [j21]Vidyadhar H. Iyer, S. Mahesh, Rohit Malpani, Mandar Sapre
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: 444-461 (2019) - [j20]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: 90-106 (2019) - 2018
- [j19]Meeta Kumar, Anand J. Kulkarni
Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology. Future Gener. Comput. Syst. 81: 252-272 (2018) - [j18]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: 378-396 (2018) - [j17]Pritesh Shah
Design of a fractional PIλDμ controller using the cohort intelligence method. Frontiers Inf. Technol. Electron. Eng. 19(3): 437-445 (2018) - [j16]Shreesh V. Dhavle, Anand J. Kulkarni
Design and economic optimization of shell-and-tube heat exchanger using cohort intelligence algorithm. Neural Comput. Appl. 30(1): 111-125 (2018) - [j15]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): 570-588 (2018) - [j14]Ishaan R. Kale, Anand J. Kulkarni
Cohort intelligence algorithm for discrete and mixed variable engineering problems. Int. J. Parallel Emergent Distributed Syst. 33(6): 627-662 (2018) - [j13]Apoorva S. Shastri
Multi-Cohort Intelligence algorithm: an intra- and inter-group learning behaviour based socio-inspired optimisation methodology. Int. J. Parallel Emergent Distributed Syst. 33(6): 675-715 (2018) - [j12]Neha S. Patankar
Variations of cohort intelligence. Soft Comput. 22(6): 1731-1747 (2018) - [i2]Apoorva S. Shastri, Anand J. Kulkarni:
Multi-Cohort Intelligence Algorithm: An Intra- and Inter-group Learning Behavior based Socio-inspired Optimization Methodology. CoRR abs/1806.01681 (2018) - 2017
- [b2]Anand Jayant Kulkarni
Cohort Intelligence: A Socio-inspired Optimization Method. Intelligent Systems Reference Library 114, Springer 2017, ISBN 978-3-319-44253-2, pp. 1-134 - [j11]Wen Liang Chang, Jeevan Kanesan
Data clustering using seed disperser ant algorithm. Turkish J. Electr. Eng. Comput. Sci. 25: 4522-4532 (2017) - [j10]Teo Ting Huan, Anand J. Kulkarni
Ideology algorithm: a socio-inspired optimization methodology. Neural Comput. Appl. 28(S-1): 845-876 (2017) - 2016
- [j9]Anand J. Kulkarni
Application of the cohort-intelligence optimization method to three selected combinatorial optimization problems. Eur. J. Oper. Res. 250(2): 427-447 (2016) - [j8]Anand J. Kulkarni
Probability collectives for solving discrete and mixed variable problems. Int. J. Comput. Aided Eng. Technol. 8(4): 325-361 (2016) - [j7]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): 303-321 (2016) - [j6]Anand J. Kulkarni
Solving 0-1 Knapsack Problem using Cohort Intelligence Algorithm. Int. J. Mach. Learn. Cybern. 7(3): 427-441 (2016) - [i1]Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar:
Constrained Cohort Intelligence using Static and Dynamic Penalty Function Approach for Mechanical Components Design. CoRR abs/1610.06009 (2016) - 2015
- [b1]Anand Jayant Kulkarni, Kang Tai
Probability Collectives - A Distributed Multi-agent System Approach for Optimization. Intelligent Systems Reference Library 86, Springer 2015, ISBN 978-3-319-15999-7, pp. 1-144 - [c11]Wen Liang Chang, Jeevan Kanesan
Seed Disperser Ant Algorithm: An Evolutionary Approach for Optimization. EvoApplications 2015: 643-654 - [c10]Apoorva S. Shastri
Solution to Constrained Test Problems Using Cohort Intelligence Algorithm. IBICA 2015: 427-435 - [c9]Suhas Machhindra Gaikwad, Rahul Raghvendra Joshi, Anand Jayant Kulkarni
Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient. SEMCCO 2015: 40-49 - 2014
- [j5]Ganesh Krishnasamy
A hybrid approach for data clustering based on modified cohort intelligence and K-means. Expert Syst. Appl. 41(13): 6009-6016 (2014) - [j4]Neha S. Patankar
Multi-criteria probability collectives. Int. J. Bio Inspired Comput. 6(6): 369-383 (2014) - 2013
- [c8]Aditya Milind Deshpande
Constraint handling in Firefly Algorithm. CYBCONF 2013: 186-190 - [c7]Shubham J. Metkar, Anand J. Kulkarni
Boundary Searching Genetic Algorithm: A Multi-objective Approach for Constrained Problems. FICTA 2013: 269-276 - [c6]Anand J. Kulkarni
Cohort Intelligence: A Self Supervised Learning Behavior. SMC 2013: 1396-1400 - [p1]Anand J. Kulkarni
A Probability Collectives Approach for Multi-Agent Distributed and Cooperative Optimization with Tolerance for Agent Failure. Agent-Based Optimization 2013: 175-201 - 2012
- [c5]Anand J. Kulkarni
A modified feasibility-based rule for solving constrained optimization problems using Probability Collectives. HIS 2012: 213-218 - [c4]Anand J. Kulkarni
Discrete optimization of truss structure using Probability Collectives. HIS 2012: 225-230 - 2011
- [j3]Anand J. Kulkarni
A Probability Collectives Approach with a Feasibility-Based Rule for Constrained Optimization. Appl. Comput. Intell. Soft Comput. 2011: 980216:1-980216:19 (2011) - [j2]Anand J. Kulkarni
Solving Constrained Optimization Problems Using Probability Collectives and a Penalty Function Approach. Int. J. Comput. Intell. Appl. 10(4): 445-470 (2011) - 2010
- [j1]Anand Jayant Kulkarni
Probability Collectives: A multi-agent approach for solving combinatorial optimization problems. Appl. Soft Comput. 10(3): 759-771 (2010) - [c3]Anand Jayant Kulkarni
Probability Collectives: A distributed optimization approach for constrained problems. IEEE Congress on Evolutionary Computation 2010: 1-8
2000 – 2009
- 2008
- [c2]Anand J. Kulkarni
Probability Collectives for decentralized, distributed optimization: A Collective Intelligence Approach. SMC 2008: 1271-1275 - 2005
- [c1]Anand J. Kulkarni, René V. Mayorga:
The Design of the Spindle of the Cylindrical Grinding Machine through Neural Networks and Genetic Algorithm. IICAI 2005: 3323-3336
Coauthor Index
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last updated on 2024-12-04 20:11 CET by the dblp team
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