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Padmakar Jagannath Pawar

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affiliation: K.K. Wagh Institute of Engineering Education and Research, Nashik, India

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Journal Articles

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2020
[j7]
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  - journals/jcde/BhosaleP20
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Kailash Changdeorao Bhosale, Padmakar Jagannath Pawar:
Production planning and scheduling problem of continuous parallel lines with demand uncertainty and different production capacities. J. Comput. Des. Eng. 7(6): 761-774 (2020)
2018
[j6]
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Padmakar Jagannath Pawar, Umesh S. Vidhate, Mangesh Y. Khalkar:
Improving the quality characteristics of abrasive water jet machining of marble material using multi-objective artificial bee colony algorithm. J. Comput. Des. Eng. 5(3): 319-328 (2018)
2017
[j5]
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  - journals/ijmheur/MaliP17
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Anil Yashvant Mali, Padmakar Jagannath Pawar:
Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II. Int. J. Metaheuristics 6(4): 334-354 (2017)
2016
[j4]
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Kailas V. Chandratre, Padmakar Jagannath Pawar, Keshav N. Nandurkar:
Dynamic machine layout for press tool operations using real coded genetic algorithm. Int. J. Metaheuristics 5(2): 91-114 (2016)
[j3]
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  - journals/jcde/DalaviPS16
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Amol M. Dalavi, Padmakar Jagannath Pawar, Tejinder Paul Singh:
Tool path planning of hole-making operations in ejector plate of injection mould using modified shuffled frog leaping algorithm. J. Comput. Des. Eng. 3(3): 266-273 (2016)
2013
[j2]
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Padmakar Jagannath Pawar, Dhiraj P. Rai-Kalal:
Multi-objective optimisation of grinding process parameters using NSGA-II. Int. J. Metaheuristics 2(2): 123-140 (2013)
2010
[j1]
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  - journals/asc/RaoP10
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Ravipudi Venkata Rao, Padmakar Jagannath Pawar:
Parameter optimization of a multi-pass milling process using non-traditional optimization algorithms. Appl. Soft Comput. 10(2): 445-456 (2010)

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