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\n\n \n \n \n \n \n Global-local population memetic algorithm for solving the forward kinematics of parallel manipulators.\n \n \n \n\n\n \n Chandra, R.; and Rolland, L.\n\n\n \n\n\n\n
Connect. Sci., 27(1): 22–39. 2015.\n
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@article{DBLP:journals/connection/ChandraR15,\n author = {Rohitash Chandra and\n Luc Rolland},\n title = {Global-local population memetic algorithm for solving the forward\n kinematics of parallel manipulators},\n journal = {Connect. Sci.},\n volume = {27},\n number = {1},\n pages = {22--39},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Competition and Collaboration in Cooperative Coevolution of Elman Recurrent Neural Networks for Time-Series Prediction.\n \n \n \n\n\n \n Chandra, R.\n\n\n \n\n\n\n
IEEE Trans. Neural Networks Learn. Syst., 26(12): 3123–3136. 2015.\n
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@article{DBLP:journals/tnn/Chandra15,\n author = {Rohitash Chandra},\n title = {Competition and Collaboration in Cooperative Coevolution of Elman\n Recurrent Neural Networks for Time-Series Prediction},\n journal = {{IEEE} Trans. Neural Networks Learn. Syst.},\n volume = {26},\n number = {12},\n pages = {3123--3136},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Scaling up Multi-island Competitive Cooperative Coevolution for Real Parameter Global Optimisation.\n \n \n \n\n\n \n Bali, K. K.; and Chandra, R.\n\n\n \n\n\n\n In
Australasian Conference on Artificial Intelligence, volume 9457, of
Lecture Notes in Computer Science, pages 34–48, 2015. Springer\n
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@inproceedings{DBLP:conf/ausai/BaliC15,\n author = {Kavitesh K. Bali and\n Rohitash Chandra},\n title = {Scaling up Multi-island Competitive Cooperative Coevolution for Real\n Parameter Global Optimisation},\n booktitle = {Australasian Conference on Artificial Intelligence},\n series = {Lecture Notes in Computer Science},\n volume = {9457},\n pages = {34--48},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Competitive two-island cooperative coevolution for real parameter global optimisation.\n \n \n \n\n\n \n Chandra, R.; and Bali, K.\n\n\n \n\n\n\n In
CEC, pages 93–100, 2015. IEEE\n
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@inproceedings{DBLP:conf/cec/ChandraB15,\n author = {Rohitash Chandra and\n Kavitesh Bali},\n title = {Competitive two-island cooperative coevolution for real parameter\n global optimisation},\n booktitle = {{CEC}},\n pages = {93--100},\n publisher = {{IEEE}},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Multi-objective cooperative neuro-evolution of recurrent neural networks for time series prediction.\n \n \n \n\n\n \n Chandra, R.\n\n\n \n\n\n\n In
CEC, pages 101–108, 2015. IEEE\n
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@inproceedings{DBLP:conf/cec/Chandra15,\n author = {Rohitash Chandra},\n title = {Multi-objective cooperative neuro-evolution of recurrent neural networks\n for time series prediction},\n booktitle = {{CEC}},\n pages = {101--108},\n publisher = {{IEEE}},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Cooperative neuro-evolution of Elman recurrent networks for tropical cyclone wind-intensity prediction in the South Pacific region.\n \n \n \n\n\n \n Chandra, R.; and Dayal, K.\n\n\n \n\n\n\n In
CEC, pages 1784–1791, 2015. IEEE\n
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@inproceedings{DBLP:conf/cec/ChandraD15,\n author = {Rohitash Chandra and\n Kavina Dayal},\n title = {Cooperative neuro-evolution of Elman recurrent networks for tropical\n cyclone wind-intensity prediction in the South Pacific region},\n booktitle = {{CEC}},\n pages = {1784--1791},\n publisher = {{IEEE}},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification in Wind Intensity of Tropical Cyclones in the South Pacific Region.\n \n \n \n\n\n \n Chandra, R.; and Dayal, K. S.\n\n\n \n\n\n\n In
ICONIP (3), volume 9491, of
Lecture Notes in Computer Science, pages 43–52, 2015. Springer\n
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@inproceedings{DBLP:conf/iconip/ChandraD15,\n author = {Rohitash Chandra and\n Kavina S. Dayal},\n title = {Coevolutionary Recurrent Neural Networks for Prediction of Rapid Intensification\n in Wind Intensity of Tropical Cyclones in the South Pacific Region},\n booktitle = {{ICONIP} {(3)}},\n series = {Lecture Notes in Computer Science},\n volume = {9491},\n pages = {43--52},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Neuron-Synapse Level Problem Decomposition Method for Cooperative Neuro-Evolution of Feedforward Networks for Time Series Prediction.\n \n \n \n\n\n \n Nand, R.; and Chandra, R.\n\n\n \n\n\n\n In
ICONIP (3), volume 9491, of
Lecture Notes in Computer Science, pages 90–100, 2015. Springer\n
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@inproceedings{DBLP:conf/iconip/NandC15,\n author = {Ravneil Nand and\n Rohitash Chandra},\n title = {Neuron-Synapse Level Problem Decomposition Method for Cooperative\n Neuro-Evolution of Feedforward Networks for Time Series Prediction},\n booktitle = {{ICONIP} {(3)}},\n series = {Lecture Notes in Computer Science},\n volume = {9491},\n pages = {90--100},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Multi-Island Competitive Cooperative Coevolution for Real Parameter Global Optimization.\n \n \n \n\n\n \n Bali, K. K.; and Chandra, R.\n\n\n \n\n\n\n In
ICONIP (3), volume 9491, of
Lecture Notes in Computer Science, pages 127–136, 2015. Springer\n
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@inproceedings{DBLP:conf/iconip/BaliC15,\n author = {Kavitesh K. Bali and\n Rohitash Chandra},\n title = {Multi-Island Competitive Cooperative Coevolution for Real Parameter\n Global Optimization},\n booktitle = {{ICONIP} {(3)}},\n series = {Lecture Notes in Computer Science},\n volume = {9491},\n pages = {127--136},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Competitive Island-Based Cooperative Coevolution for Efficient Optimization of Large-Scale Fully-Separable Continuous Functions.\n \n \n \n\n\n \n Bali, K. K.; Chandra, R.; and Omidvar, M. N.\n\n\n \n\n\n\n In
ICONIP (3), volume 9491, of
Lecture Notes in Computer Science, pages 137–147, 2015. Springer\n
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@inproceedings{DBLP:conf/iconip/BaliCO15,\n author = {Kavitesh K. Bali and\n Rohitash Chandra and\n Mohammad Nabi Omidvar},\n title = {Competitive Island-Based Cooperative Coevolution for Efficient Optimization\n of Large-Scale Fully-Separable Continuous Functions},\n booktitle = {{ICONIP} {(3)}},\n series = {Lecture Notes in Computer Science},\n volume = {9491},\n pages = {137--147},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation for Pattern Classification.\n \n \n \n\n\n \n Wong, G.; and Chandra, R.\n\n\n \n\n\n\n In
ICONIP (1), volume 9489, of
Lecture Notes in Computer Science, pages 293–301, 2015. Springer\n
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@inproceedings{DBLP:conf/iconip/WongC15,\n author = {Gary Wong and\n Rohitash Chandra},\n title = {Enhancing Competitive Island Cooperative Neuro-Evolution Through Backpropagation\n for Pattern Classification},\n booktitle = {{ICONIP} {(1)}},\n series = {Lecture Notes in Computer Science},\n volume = {9489},\n pages = {293--301},\n publisher = {Springer},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Application of cooperative neuro-evolution of Elman recurrent networks for a two-dimensional cyclone track prediction for the south pacific region.\n \n \n \n\n\n \n Chandra, R.; Dayal, K.; and Rollings, N.\n\n\n \n\n\n\n In
IJCNN, pages 1–8, 2015. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/ChandraDR15,\n author = {Rohitash Chandra and\n Kavina Dayal and\n Nicholas Rollings},\n title = {Application of cooperative neuro-evolution of Elman recurrent networks\n for a two-dimensional cyclone track prediction for the south pacific\n region},\n booktitle = {{IJCNN}},\n pages = {1--8},\n publisher = {{IEEE}},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Competitive two-island cooperative co-evolution for training feedforward neural networks for pattern classification problems.\n \n \n \n\n\n \n Chandra, R.; and Wong, G.\n\n\n \n\n\n\n In
IJCNN, pages 1–8, 2015. IEEE\n
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@inproceedings{DBLP:conf/ijcnn/ChandraW15,\n author = {Rohitash Chandra and\n Gary Wong},\n title = {Competitive two-island cooperative co-evolution for training feedforward\n neural networks for pattern classification problems},\n booktitle = {{IJCNN}},\n pages = {1--8},\n publisher = {{IEEE}},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Design of a Mobile Face Recognition System for Visually Impaired Persons.\n \n \n \n\n\n \n Chaudhry, S.; and Chandra, R.\n\n\n \n\n\n\n
CoRR, abs/1502.00756. 2015.\n
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@article{DBLP:journals/corr/ChaudhryC15,\n author = {Shonal Chaudhry and\n Rohitash Chandra},\n title = {Design of a Mobile Face Recognition System for Visually Impaired Persons},\n journal = {CoRR},\n volume = {abs/1502.00756},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Development of an Android Application for an Electronic Medical Record System in an Outpatient Environment for Healthcare in Fiji.\n \n \n \n\n\n \n Abel, D.; Gavidi, B.; Rollings, N.; and Chandra, R.\n\n\n \n\n\n\n
CoRR, abs/1503.00810. 2015.\n
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@article{DBLP:journals/corr/AbelGRC15,\n author = {Daryl Abel and\n Bulou Gavidi and\n Nicholas Rollings and\n Rohitash Chandra},\n title = {Development of an Android Application for an Electronic Medical Record\n System in an Outpatient Environment for Healthcare in Fiji},\n journal = {CoRR},\n volume = {abs/1503.00810},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n Mobile Application for Dengue Fever Monitoring and Tracking via GPS: Case Study for Fiji.\n \n \n \n\n\n \n Reddy, E.; Kumar, S.; Rollings, N.; and Chandra, R.\n\n\n \n\n\n\n
CoRR, abs/1503.00814. 2015.\n
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@article{DBLP:journals/corr/ReddyKRC15,\n author = {Emmenual Reddy and\n Sarnil Kumar and\n Nicholas Rollings and\n Rohitash Chandra},\n title = {Mobile Application for Dengue Fever Monitoring and Tracking via {GPS:}\n Case Study for Fiji},\n journal = {CoRR},\n volume = {abs/1503.00814},\n year = {2015}\n}\n\n
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\n\n \n \n \n \n \n A Study of the Management of Electronic Medical Records in Fijian Hospitals.\n \n \n \n\n\n \n Ravindra, S. S.; Chandra, R.; and Dhenesh, V. S.\n\n\n \n\n\n\n
CoRR, abs/1507.03659. 2015.\n
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@article{DBLP:journals/corr/RavindraCD15,\n author = {Swaran S. Ravindra and\n Rohitash Chandra and\n Virallikattur S. Dhenesh},\n title = {A Study of the Management of Electronic Medical Records in Fijian\n Hospitals},\n journal = {CoRR},\n volume = {abs/1507.03659},\n year = {2015}\n}\n\n
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