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Mukund Janardhanan
Mukund Janardhanan
Verified email at warwick.ac.uk
Title
Cited by
Cited by
Year
An investigation on minimizing cycle time and total energy consumption in robotic assembly line systems
JM Nilakantan, GQ Huang, SG Ponnambalam
Journal of Cleaner Production 90, 311-325, 2015
1402015
Comprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problem
Z Li, I Kucukkoc, JM Nilakantan
Computers & Operations Research 84, 146-161, 2017
1002017
Robotic U-shaped assembly line balancing using particle swarm optimization
J Mukund Nilakantan, SG Ponnambalam
Engineering Optimization 48 (2), 231-252, 2016
942016
Task scheduling system for UAV operations in indoor environment
Y Khosiawan, Y Park, I Moon, JM Nilakantan, I Nielsen
Neural Computing and Applications 31, 5431-5459, 2019
822019
Multi-objective co-operative co-evolutionary algorithm for minimizing carbon footprint and maximizing line efficiency in robotic assembly line systems
JM Nilakantan, Z Li, Q Tang, P Nielsen
Journal of Cleaner Production 156, 124-136, 2017
792017
Review on state-of-the-art dynamic task allocation strategies for multiple-robot systems
N Seenu, KC RM, MM Ramya, MN Janardhanan
Industrial Robot: the international journal of robotics research and …, 2020
782020
Metaheuristic algorithms for balancing robotic assembly lines with sequence-dependent robot setup times
MN Janardhanan, Z Li, G Bocewicz, Z Banaszak, P Nielsen
Applied Mathematical Modelling 65, 256-270, 2019
732019
Bio-inspired search algorithms to solve robotic assembly line balancing problems
J Mukund Nilakantan, SG Ponnambalam, N Jawahar, G Kanagaraj
Neural Computing and Applications 26, 1379-1393, 2015
692015
An effective hybrid cuckoo search and genetic algorithm for constrained engineering design optimization
G Kanagaraj, SG Ponnambalam, N Jawahar, JM Nilakantan
Engineering Optimization 46 (10), 1331-1351, 2014
622014
Multi-objective migrating bird optimization algorithm for cost-oriented assembly line balancing problem with collaborative robots
Z Li, MN Janardhanan, Q Tang
Neural Computing and Applications 33 (14), 8575-8596, 2021
562021
Co-evolutionary particle swarm optimization algorithm for two-sided robotic assembly line balancing problem
Z Li, MN Janardhanan, Q Tang, P Nielsen
Advances in Mechanical Engineering 8 (9), 1687814016667907, 2016
552016
Mathematical model and metaheuristics for simultaneous balancing and sequencing of a robotic mixed-model assembly line
Z Li, MN Janardhanan, Q Tang, P Nielsen
Engineering Optimization 50 (5), 877-893, 2018
542018
An integrated approach for line balancing and AGV scheduling towards smart assembly systems
HF Rahman, MN Janardhanan, P Nielsen
Assembly Automation 40 (2), 219-234, 2020
532020
Differential evolution algorithm for solving RALB problem using cost-and time-based models
JM Nilakantan, I Nielsen, SG Ponnambalam, S Venkataramanaiah
The International Journal of Advanced Manufacturing Technology 89, 311-332, 2017
492017
A predictive maintenance cost model for CNC SMEs in the era of industry 4.0
K Adu-Amankwa, AKA Attia, MN Janardhanan, I Patel
The International Journal of Advanced Manufacturing Technology 104, 3567-3587, 2019
442019
Design of energy efficient RAL system using evolutionary algorithms
MJ Nilakantan, SG Ponnambalam, J N
Engineering Computations 33 (2), 2016
412016
Modelling and solving profit-oriented U-shaped partial disassembly line balancing problem
Z Li, MN Janardhanan
Expert systems with applications 183, 115431, 2021
402021
Real-time order acceptance and scheduling problems in a flow shop environment using hybrid GA-PSO algorithm
HF Rahman, MN Janardhanan, IE Nielsen
IEEE Access 7, 112742-112755, 2019
392019
Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times
Z Li, MN Janardhanan, Q Tang, SG Ponnambalam
Swarm and Evolutionary Computation 50, 100567, 2019
382019
Lean manufacturing and Industry 4.0 combinative application: Practices and perceived benefits
M Marinelli, AA Deshmukh, M Janardhanan, I Nielsen
IFAC-PapersOnLine 54 (1), 288-293, 2021
322021
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