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ORCIDS. G. Ponnambalam
Sivalinga Govindarajan Ponnambalam
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2020 – today
- 2024
[j32]Tahniat Khayyam, S. G. Ponnambalam, Mukund Nilakantan Janardhanan, Izabela Ewa Nielsen:
Behaviour-Defined Navigation Framework for dynamical obstacle avoidance in Multi-robot Systems Consisting of holonomic robots. Int. J. Robotics Autom. 39(5): 379-390 (2024)- 2023
- [j31]Shakthi Thinakaran
, Pranesh Chandravelu, S. G. Ponnambalam, Bathrinath Sankaranarayanan, Koppiahraj Karuppiah:
Analyzing the Challenges to Circular Economy in Indian Fashion Industry. IEEE Access 11: 711-727 (2023) - [j30]Humyun Fuad Rahman, Mukund Nilakantan Janardhanan, S. G. Ponnambalam:
Energy aware semi-automatic assembly line balancing problem considering ergonomic risk and uncertain processing time. Expert Syst. Appl. 231: 120737 (2023) - 2021
- [j29]Humyun Fuad Rahman, Mukund Nilakantan Janardhanan, Liam Poon Chuen, S. G. Ponnambalam:
Flowshop scheduling with sequence dependent setup times and batch delivery in supply chain. Comput. Ind. Eng. 158: 107378 (2021) - [j28]S. G. Ponnambalam, Dinakaran Devaraj, M. M. Ramya, R. M. Kuppan Chetty:
Editorial: Special Issue on "Intelligent Robotics and Autonomous Systems. Int. J. Robotics Autom. 36(1) (2021) - [j27]Zixiang Li, Mukund Nilakantan Janardhanan, S. G. Ponnambalam:
Cost-oriented robotic assembly line balancing problem with setup times: multi-objective algorithms. J. Intell. Manuf. 32(4): 989-1007 (2021) - [j26]S. G. Ponnambalam, Mukund Nilakantan Janardhanan, Rishwaraj Gengarajoo:
Trust-based decision-making framework for multiagent system. Soft Comput. 25(11): 7559-7575 (2021)
2010 – 2019
- 2019
- [j25]A. N. Balaji, J. Mukund Nilakantan, Izabela Nielsen, N. Jawahar, S. G. Ponnambalam:
Solving fixed charge transportation problem with truck load constraint using metaheuristics. Ann. Oper. Res. 273(1-2): 207-236 (2019) - [j24]Zixiang Li, Mukund Nilakantan Janardhanan, Qiuhua Tang, S. G. Ponnambalam:
Model and metaheuristics for robotic two-sided assembly line balancing problems with setup times. Swarm Evol. Comput. 50 (2019) - 2018
- [j23]Boon Ean Teoh, S. G. Ponnambalam, Nachiappan Subramanian:
Data driven safe vehicle routing analytics: a differential evolution algorithm to reduce CO $$_{2}$$ 2 emissions and hazardous risks. Ann. Oper. Res. 270(1-2): 515-538 (2018) - [j22]Ian Shivraj Doolun, S. G. Ponnambalam, Nachiappan Subramanian, Ganesan Kanagaraj:
Data driven hybrid evolutionary analytical approach for multi objective location allocation decisions: Automotive green supply chain empirical evidence. Comput. Oper. Res. 98: 265-283 (2018) - [j21]P. Dhiravidamani, A. S. Ramkumar, S. G. Ponnambalam, Nachiappan Subramanian:
Implementation of lean manufacturing and lean audit system in an auto parts manufacturing industry - an industrial case study. Int. J. Comput. Integr. Manuf. 31(6): 579-594 (2018) - [j20]I. Jerin Leno, Saravana S. Sankar, S. G. Ponnambalam:
MIP model and elitist strategy hybrid GA-SA algorithm for layout design. J. Intell. Manuf. 29(2): 369-387 (2018) - 2017
- [j19]Rishwaraj Gengarajoo, S. G. Ponnambalam:
Integrated trust based control system for multirobot systems: Development and experimentation in real environment. Expert Syst. Appl. 86: 177-189 (2017) - [j18]Zhen Yang Lim, S. G. Ponnambalam, Kazuhiro Izui:
Multi-objective hybrid algorithms for layout optimization in multi-robot cellular manufacturing systems. Knowl. Based Syst. 120: 87-98 (2017) - [j17]Chea-Yau Kee, S. G. Ponnambalam, Chu Kiong Loo:
Binary and multi-class motor imagery using Renyi entropy for feature extraction. Neural Comput. Appl. 28(8): 2051-2062 (2017) - [j16]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
An efficient trust estimation model for multi-agent systems using temporal difference learning. Neural Comput. Appl. 28(S-1): 461-474 (2017) - [j15]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Heuristics-Based Trust Estimation in Multiagent Systems Using Temporal Difference Learning. IEEE Trans. Cybern. 47(8): 1925-1935 (2017) - [c41]Mukund Nilakantan Janardhanan, Peter Nielsen, Zixiang Li, S. G. Ponnambalam:
Minimizing energy consumption in a straight robotic assembly line using differential evolution algorithm. DCAI 2017: 45-52 - 2016
- [j14]Zhen Yang Lim, S. G. Ponnambalam, Kazuhiro Izui:
Nature inspired algorithms to optimize robot workcell layouts. Appl. Soft Comput. 49: 570-589 (2016) - [j13]W. C. Esmonde Lim, Ganesan Kanagaraj, S. G. Ponnambalam:
A hybrid cuckoo search-genetic algorithm for hole-making sequence optimization. J. Intell. Manuf. 27(2): 417-429 (2016) - [c40]Mukund Nilakantan Janardhanan, Peter Nielsen, S. G. Ponnambalam:
Application of Particle Swarm Optimization to Maximize Efficiency of Straight and U-Shaped Robotic Assembly Lines. DCAI 2016: 525-533 - [c39]Rishwaraj Gengarajoo, S. G. Ponnambalam, Chu Kiong Loo:
Evaluating Trust in Multi-Agents System Through Temporal Difference Leaning. ICIRA (1) 2016: 513-524 - 2015
- [j12]Boon Ean Teoh, S. G. Ponnambalam, Ganesan Kanagaraj:
Differential evolution algorithm with local search for capacitated vehicle routing problem. Int. J. Bio Inspired Comput. 7(5): 321-342 (2015) - [j11]Chea-Yau Kee, S. G. Ponnambalam, Chu Kiong Loo:
Multi-objective genetic algorithm as channel selection method for P300 and motor imagery data set. Neurocomputing 161: 120-131 (2015) - [j10]J. Mukund Nilakantan, S. G. Ponnambalam, N. Jawahar, Ganesan Kanagaraj:
Bio-inspired search algorithms to solve robotic assembly line balancing problems. Neural Comput. Appl. 26(6): 1379-1393 (2015) - [c38]Akif Muhtasim Alim, S. G. Ponnambalam, Ganesan Kanagaraj:
Robot Workcell Layout Optimization Using Firefly Algorithm. SEMCCO 2015: 188-200 - [c37]Ganesan Kanagaraj, S. G. Ponnambalam, Amir Hossein Gandomi:
Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems. SEMCCO 2015: 260-273 - 2014
- [j9]S. G. Ponnambalam:
Foreword for the Special Issue of Iram2012. Int. J. Robotics Autom. 29(4) (2014) - [j8]Rishwaraj Gengarajoo, S. G. Ponnambalam, R. M. Kuppan Chetty:
Multi-robot Formation Control using a Hybrid Posture estimation Strategy. Int. J. Robotics Autom. 29(4) (2014) - [j7]Wen Han Vincent Lui, S. G. Ponnambalam, Ganesan Kanagaraj:
Differential evolution variants to schedule flexible assembly lines. J. Intell. Manuf. 25(4): 739-753 (2014) - [c36]Ganesan Kanagaraj, S. G. Ponnambalam, W. C. Esmonde Lim:
Application of a hybridized cuckoo search-genetic algorithm to path optimization for PCB holes drilling process. CASE 2014: 373-378 - [c35]J. Mukund Nilakantan, S. G. Ponnambalam:
Optimizing the Efficiency of Straight and U-Shaped Robotic Assembly Lines. SEMCCO 2014: 582-595 - [c34]Sujan Warnakulasooriya, S. G. Ponnambalam:
Trajectory Planning and Obstacle Avoidance Control of Redundant Robots Using Differential Evolution and Particle Swarm Optimization Algorithms. SEMCCO 2014: 596-605 - 2013
- [j6]Ganesan Kanagaraj, S. G. Ponnambalam, N. Jawahar:
A hybrid cuckoo search and genetic algorithm for reliability-redundancy allocation problems. Comput. Ind. Eng. 66(4): 1115-1124 (2013) - [j5]Wen Han Vincent Lui, S. G. Ponnambalam:
A Differential Evolution-Based Algorithm to Schedule Flexible Assembly Lines. IEEE Trans Autom. Sci. Eng. 10(4): 1161-1165 (2013) - [c33]B. M. Domingo, S. G. Ponnambalam, Ganesan Kanagaraj:
A Differential Evolution based algorithm for single container loading problem. SDE 2013: 105-111 - [c32]Murugappan Elango, Ganesan Kanagaraj, S. G. Ponnambalam:
Sandholm Algorithm with K-means Clustering Approach for Multi-robot Task Allocation. SEMCCO (2) 2013: 14-22 - [c31]Sankaranarayanan Bathrinath, S. Saravanasankar, S. G. Ponnambalam, B. K. V. Kannan:
Bi-objective Optimization in Identical Parallel Machine Scheduling Problem. SEMCCO (1) 2013: 377-388 - [c30]Mohan Yogeswaran, S. G. Ponnambalam, Ganesan Kanagaraj:
Reinforcement learning in swarm-robotics for multi-agent foraging-task domain. SIS 2013: 15-21 - 2012
- [j4]Goh Sue-Ann, S. G. Ponnambalam, N. Jawahar:
Evolutionary algorithms for optimal operating parameters of vendor managed inventory systems in a two-echelon supply chain. Adv. Eng. Softw. 52: 47-54 (2012) - [c29]Wen Han Vincent Lui, S. G. Ponnambalam:
Scheduling Flexible Assembly Lines using variants of Differential Evolution. CASE 2012: 594-599 - [c28]J. Mukund Nilakantan, S. G. Ponnambalam:
An efficient PSO for type II robotic assembly line balancing problem. CASE 2012: 600-605 - [c27]I. Jerin Leno, Saravana S. Sankar, S. G. Ponnambalam:
Multi Objective Integrated Layout Design Problem. SEMCCO 2012: 500-508 - 2011
- [j3]Saravana S. Sankar, S. G. Ponnambalam, M. Victor Raj:
A new approach to nullify surplus parts in selective assembly. Int. J. Comput. Aided Eng. Technol. 3(5/6): 492-503 (2011) - [c26]Keng Huat Koh, R. M. Kuppan Chetty, S. G. Ponnambalam:
Modeling and simulation of Electrostatic Adhesion for Wall Climbing Robot. ROBIO 2011: 2031-2036 - [c25]Mohan Yogeswaran, S. G. Ponnambalam:
Exploration Strategies for Learning in Multi-agent Foraging. SEMCCO (2) 2011: 17-26 - [c24]Wen Han Vincent Lui, S. G. Ponnambalam:
Scheduling Flexible Assembly Lines Using Differential Evolution. SEMCCO (1) 2011: 43-50 - [c23]I. Jerin Leno, Saravana S. Sankar, M. Victor Raj, S. G. Ponnambalam:
Bi-criteria Optimization in Integrated Layout Design of Cellular Manufacturing Systems Using a Genetic Algorithm. SEMCCO (1) 2011: 323-331 - 2010
- [c22]Oon-Ee Ng, Velappa Ganapathy, S. G. Ponnambalam:
Connected-component stereo aggregation. APCCAS 2010: 348-351 - [c21]Mohan Yogeswaran, S. G. Ponnambalam:
Q-Learning Policies for Multi-Agent Foraging Task. FIRA 2010: 194-201 - [c20]Mohan Yogeswaran, S. G. Ponnambalam:
Evaluating Q-Learning Policies for Multi-objective Foraging Task in a Multi-agent Environment. ICIRA (2) 2010: 587-598 - [c19]Lee Yi Zheng, S. G. Ponnambalam:
A Hybrid GA-AIS Heuristic for Optimization of Multipass Turning Operations. ICIRA (2) 2010: 599-611 - [c18]S. Veera Ragavan, S. G. Ponnambalam, Velappa Ganapathy, Joshua Teh:
Services Integration Framework for Vehicle Telematics. ICIRA (2) 2010: 636-648 - [c17]Goh Sue-Ann, S. G. Ponnambalam:
A Particle Swarm Optimization Algorithm for Optimal Operating Parameters of VMI Systems in a Two-Echelon Supply Chain. SEMCCO 2010: 440-447
2000 – 2009
- 2009
- [c16]Christopher L. E. Khaw, Sivalinga Govindarajan Ponnambalam:
Multi-rule multi-objective Ant Colony Optimization for straight and U-type assembly line balancing problem. CASE 2009: 177-182 - [c15]Tan Wei Yung, Sivalinga Govindarajan Ponnambalam, Mohan Yogeswaran:
Multi-objective ACO for integrated scheduling of machines and material handling equipment in flexible manufacturing systems. CASE 2009: 304-309 - [c14]Mohan Yogeswaran, S. G. Ponnambalam, J. I. Inayat-Hussain:
A Comparative Study of Policies in Q-Learning for Foraging Tasks. NaBIC 2009: 134-139 - [c13]Mohan Yogeswaran, S. G. Ponnambalam:
An Extensive Review of Research in Swarm Robotics. NaBIC 2009: 140-145 - 2008
- [j2]R. Maheswaran, S. G. Ponnambalam, N. Jawahar:
Hybrid heuristic algorithms for single machine total weighted tardiness scheduling problems. Int. J. Intell. Syst. Technol. Appl. 4(1/2): 34-56 (2008) - [c12]Yuang Teck Teo, S. G. Ponnambalam:
A hybrid ACO/PSO heuristic to solve single row layout problem. CASE 2008: 597-602 - [c11]S. G. Ponnambalam, R. Sudhakara Pandian, Siba Sankar Mahapatra, S. Saravanasankar:
Modified ART1 neural networks for cell formation using production data. CASE 2008: 603-608 - [c10]Lim Chee Ming, Sivalinga Govindarajan Ponnambalam:
A hybrid GA/PSO for the concurrent design of cellular manufacturing system. SMC 2008: 1855-1860 - [c9]R. Sudhakara Pandian, S. Saravanasankar, Siba Sankar Mahapatra, Sivalinga Govindarajan Ponnambalam:
An ART1 based algorithm for Cell Formation with sequence data. SMC 2008: 1866-1871 - 2007
- [c8]Mohan Yogeswaran, S. G. Ponnambalam, Manoj Kumar Tiwari:
An hybrid heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS. CASE 2007: 182-187 - [c7]A. S. Ramkumar, S. G. Ponnambalam, N. Jawahar:
An evolutionary search heuristic for solving QAP formulation in facility layout design. IEEE Congress on Evolutionary Computation 2007: 4005-4011 - [c6]S. Chandrasekaran, S. G. Ponnambalam, R. K. Suresh, N. Vijayakumar:
Multi-objective particle swarm optimization algorithm for scheduling in flowshops to minimize makespan, total flowtime and completion time variance. IEEE Congress on Evolutionary Computation 2007: 4012-4018 - 2006
- [c5]S. G. Ponnambalam, Saravana S. Sankar, S. Sriram, M. Gurumarimuthu:
PARALLEL POPULATIONS GENETIC ALGORITHM FOR MINIMIZING ASSEMBLY VARIATION IN SELECTIVE ASSEMBLY. CASE 2006: 496-500 - [c4]S. Chandrasekaran, R. K. Suresh, S. G. Ponnambalam, N. Vijayakumar:
An Application of Particle Swarm Optimization Algorithm to Permutation Flowshop Scheduling Problems to Minimize Makespan, Total Flowtime and Completion Time Variance. CASE 2006: 513-518 - 2004
- [c3]Saravana Sankar S, S. G. Ponnambalam:
An intelligent integrated scheduling model for Flexible Manufacturing System. RAM 2004: 1095-1100 - [c2]Velappa Ganapathy, S. Marimuthu, S. G. Ponnambalam:
Tabu search and simulated annealing algorithms for lot-streaming in two-machine flowshop. SMC (5) 2004: 4221-4225 - [c1]Saravana S. Sankar, R. Rajkumar, Sivalinga Govindarajan Ponnambalam, M. Gurumarimuthu:
Integrated scheduling of material handling and manufacturing activities in flexible manufacturing system. SMC (5) 2004: 4254-4259 - 2003
- [j1]S. G. Ponnambalam, P. Aravindan, M. Subba Rao:
Genetic algorithms for sequencing problems in mixed model assembly lines. Comput. Ind. Eng. 45(4): 669-690 (2003)
Coauthor Index
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