| 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 | 157 | 2015 |
| 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 | 116 | 2020 |
| 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 | 111 | 2017 |
| Robotic U-shaped assembly line balancing using particle swarm optimization J Mukund Nilakantan, SG Ponnambalam Engineering Optimization 48 (2), 231-252, 2016 | 102 | 2016 |
| 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 | 96 | 2017 |
| 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 | 95 | 2019 |
| 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 | 81 | 2019 |
| 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 | 77 | 2021 |
| 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 | 77 | 2015 |
| Relationship analysis between greenwashing and environmental performance K Zhang, Z Pan, M Janardhanan, I Patel Environment, Development and Sustainability 25 (8), 7927-7957, 2023 | 71 | 2023 |
| 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 | 64 | 2014 |
| 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 | 62 | 2016 |
| 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 | 60 | 2020 |
| 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 | 59 | 2018 |
| 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 | 55 | 2019 |
| Modelling and solving profit-oriented U-shaped partial disassembly line balancing problem Z Li, MN Janardhanan Expert systems with applications 183, 115431, 2021 | 53 | 2021 |
| 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 | 52 | 2017 |
| 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 | 48 | 2019 |
| 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 | 45 | 2019 |
| Design of energy efficient RAL system using evolutionary algorithms MJ Nilakantan, SG Ponnambalam, J N Engineering Computations 33 (2), 2016 | 45 | 2016 |
Ponnambalam S GDean (Research), Academy of Maritime Education and Training (Deemed to be University), Chennaiametuniv.ac.in의 이메일 확인됨