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Pradyumn Kumar Shukla

University of Manchester

18H-index
108Paper Count
1.3KCitation Count
Published Papers 5
Publication Date
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Reinforcement Learning for Multi-Objective Multi-Echelon Supply Chain Optimisation
errEuropean Journal of Operational Research
IF6
err2026-02-10
err0
errOAAI
errRifny Rachman; Josh Tingey; Richard Allmendinger; Pradyumn Shukla; Wei Pan
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On cone-based decompositions of proper Pareto-optimality in multi-objective optimization
errEUROPEAN JOURNAL OF OPERATIONAL RESEARCH
IF6
err2024-09-01
err0
PREAI
errBraun, Marlon; Shukla, Pradyumn
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errSave
Line-prioritized environmental selection and normalization scheme for many-objective optimization using reference-lines-based framework
errSWARM AND EVOLUTIONARY COMPUTATION
IF8.5
err2019-12-01
err10
PREAI
errSharma, Deepak; Shukla, Pradyumn Kumar
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errSave
A neuro-genetic approach for modeling and optimizing a complex cogeneration process
errAPPLIED SOFT COMPUTING
IF6.6
err2016-11-01
err11
PREAI
errBraun, M. A.; Seijo, S.; Echanobe, J.; Shukla, P. K.; del Campo, I.; Garcia-Sedano, J.; Schmeck, H.
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errSave
On finding multiple Pareto-optimal solutions using classical and evolutionary generating methods
errEUROPEAN JOURNAL OF OPERATIONAL RESEARCH
IF6
err2007-09-01
err117
PREAI
errKumar Shukla, Pradyumn; Deb, Kalyanmoy
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errSave

Research Directions

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Co-authors
Cooperation Journals
K
Kalyanmoy Deb
H-index: 118 · Papers: 899
H
Hartmut Schmeck
H-index: 37 · Papers: 1.1K
W
Wei Pan
H-index: 32 · Papers: 303
R
Richard Allmendinger
H-index: 20 · Papers: 152
I
I. del Campo
H-index: 19 · Papers: 63
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