Cuckoo search optimization-a review AS Joshi, O Kulkarni, GM Kakandikar, VM Nandedkar Materials Today: Proceedings 4 (8), 7262-7269, 2017 | 229 | 2017 |
Genetic algorithm and its applications to mechanical engineering: A review MT Bhoskar, MOK Kulkarni, MNK Kulkarni, MSL Patekar, GM Kakandikar, ... Materials Today: Proceedings 2 (4-5), 2624-2630, 2015 | 127 | 2015 |
Particle swarm optimization applications to mechanical engineering-A review MNK Kulkarni, MS Patekar, MT Bhoskar, MO Kulkarni, GM Kakandikar, ... Materials Today: Proceedings 2 (4-5), 2631-2639, 2015 | 85 | 2015 |
Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design O Kulkarni, N Kulkarni, AJ Kulkarni, G Kakandikar International journal of parallel, emergent and distributed systems 33 (6 …, 2018 | 56 | 2018 |
Application of grasshopper optimization algorithm for constrained and unconstrained test functions AG Neve, GM Kakandikar, O Kulkarni International Journal of Swarm Intelligence and Evolutionary Computation 6 …, 2017 | 54 | 2017 |
Process parameter optimization in WEDM by grey wolf optimizer O Kulkarni, S Kulkarni Materials Today: Proceedings 5 (2), 4402-4412, 2018 | 33 | 2018 |
Experimental and numerical investigations on forming limit curves in micro forming G Patel, K Ganesh M, O Kulkarni Advances in Materials and Processing Technologies 8 (1), 33-44, 2022 | 9 | 2022 |
An insight review on jellyfish optimization algorithm and its application in engineering A Khare, GM Kakandikar, OK Kulkarni Journal homepage: http://iieta. org/journals/rces 9 (1), 31-40, 2022 | 8 | 2022 |
Formability Assessment with Microstructural Investigations for Zirconium 702 Thin Foils: Bio-Material Applications O Kulkarni, G Kakandikar Advances in Materials and Processing Technologies, 1-11, 2022 | 7 | 2022 |
Optimising fracture in automotive tail cap by firefly algorithm GM Kakandikar, O Kulkarni, S Patekar, T Bhoskar International Journal of Swarm Intelligence 5 (1), 136-150, 2020 | 7 | 2020 |
Novel product design of tool for investigating formability with microstructural study of bio-material titanium grade-II thin foils O Kulkarni, G Kakandikar International Journal on Interactive Design and Manufacturing (IJIDeM) 17 (5 …, 2023 | 6 | 2023 |
Optimization of railway bogie snubber spring with grasshopper algorithm AG Neve, GM Kakandikar, O Kulkarni, VM Nandedkar Data Engineering and Communication Technology: Proceedings of 3rd ICDECT …, 2020 | 6 | 2020 |
Parameter optimization of AISI 316 austenitic stainless steel for surface roughness by Grasshopper optimization algorithm S Jawade, OK Kulkarni, GM Kakandikar Journal of Mechanical Engineering, Automation and Control Systems 2 (2), 87-97, 2021 | 5 | 2021 |
Process parameters optimization by bat inspired algorithm of CNC turning on EN8 steel for prediction of surface roughness CG Burande, OK Kulkarni, S Jawade, GM Kakandikar Journal of Mechatronics and Artificial Intelligence in Engineering 2 (2), 73-85, 2021 | 5 | 2021 |
Micro Forming and its Application: A Critical Review N Tiwari, G Kakandikar, O Kulkarni https://www.jenrs.com/v01/i03/p013, 2022 | 4 | 2022 |
The role of mechanical testing in additive manufacturing V Agarwal, S Jawade, S Atre, O Kulkarni Material Science, Engineering and Applications 1 (2), 21-31, 2021 | 4 | 2021 |
Development of a multi‐objective Salp Swarm Algorithm for Benchmark Functions and Real‐world Problems SP Mhatugade, GM Kakandikar, OK Kulkarni, VM Nandedkar Optimization for Engineering Problems, 101-130, 2019 | 4 | 2019 |
Applicability and Efficiency of Socio-Cultural Inspired Algorithms in Optimizing Mechanical Systems-A Critical Review. S Patel, GM Kakandikar, O Kulkarni Review of Computer Engineering Studies 7 (2), 2020 | 2 | 2020 |
Spring back optimization in metal forming using cohort intelligence O Kulkarni, GM Kakandikar International Engineering Research Journal, 2938-2942, 2015 | 2 | 2015 |
Optimization of thermal efficiency of Scheffler solar concentrator receiver using slime mold algorithm A Nene, OK Kulkarni Computational Intelligence in Manufacturing, 71-86, 2022 | 1 | 2022 |