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Semantic ScholarPonnuthurai N. Suganthan
Ponnuthurai Nagaratnam Suganthan
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- affiliation: Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
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- 2020
[j145]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
Heterogeneous oblique random forest. Pattern Recognition 99 (2020)
2010 – today
- 2019
- [j144]Partha P. Biswas
, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga:
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach. Appl. Soft Comput. 75: 616-632 (2019) - [j143]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An efficient Differential Evolution algorithm for stochastic OPF based active-reactive power dispatch problem considering renewable generators. Appl. Soft Comput. 76: 445-458 (2019) - [j142]Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan:
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. 83 (2019) - [j141]Li Yan, Boyang Qu, Yongsheng Zhu, Baihao Qiao, Ponnuthurai Nagaratnam Suganthan:
Dynamic economic emission dispatch based on multi-objective pigeon-inspired optimization with double disturbance. SCIENCE CHINA Information Sciences 62(7): 70210:1-70210:3 (2019) - [j140]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
General twin support vector machine with pinball loss function. Inf. Sci. 494: 311-327 (2019) - [j139]Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan:
Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times. Knowl.-Based Syst. 172: 104-122 (2019) - [j138]Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Ensemble strategies for population-based optimization algorithms - A survey. Swarm and Evolutionary Computation 44: 695-711 (2019) - [j137]Hui Li, Kalyanmoy Deb, Qingfu Zhang, Ponnuthurai N. Suganthan, Lei Chen:
Comparison between MOEA/D and NSGA-III on a set of novel many and multi-objective benchmark problems with challenging difficulties. Swarm and Evolutionary Computation 46: 104-117 (2019) - [j136]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm and Evolutionary Computation 48: 220-250 (2019) - [j135]Kaizhou Gao, Fajun Yang, MengChu Zhou, Quan-Ke Pan, Ponnuthurai Nagaratnam Suganthan:
Flexible Job-Shop Rescheduling for New Job Insertion by Using Discrete Jaya Algorithm. IEEE Trans. Cybernetics 49(5): 1944-1955 (2019) - [j134]Trinadh Pamulapati, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
$I_{\rm SDE}$ + - An Indicator for Multi and Many-Objective Optimization. IEEE Trans. Evolutionary Computation 23(2): 346-352 (2019) - [j133]Kaizhou Gao, Yi Zhang, Yicheng Zhang, Rong Su, Ponnuthurai Nagaratnam Suganthan:
Meta-Heuristics for Bi-Objective Urban Traffic Light Scheduling Problems. IEEE Trans. Intelligent Transportation Systems 20(7): 2618-2629 (2019) - [j132]Kaizhou Gao, Yicheng Zhang, Rong Su, Fajun Yang, Ponnuthurai Nagaratnam Suganthan, MengChu Zhou:
Solving Traffic Signal Scheduling Problems in Heterogeneous Traffic Network by Using Meta-Heuristics. IEEE Trans. Intelligent Transportation Systems 20(9): 3272-3282 (2019) - [p1]Cemre Cubukcuoglu, Ayca Kirimtat, Berk Ekici, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan:
Evolutionary Computation for Theatre Hall Acoustics. Optimization in Industry 2019: 55-83 - [i3]Rakesh Katuwal, Ponnuthurai N. Suganthan, M. Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR abs/1907.00350 (2019) - [i2]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. CoRR abs/1910.01858 (2019) - 2018
- [j131]Ponnuthurai N. Suganthan, Sushmita Mitra, Ivan Tyukin:
Preface special issue on non-iterative approaches in learning. Appl. Soft Comput. 70: 947-950 (2018) - [j130]Ponnuthurai Nagaratnam Suganthan:
Letter: On non-iterative learning algorithms with closed-form solution. Appl. Soft Comput. 70: 1078-1082 (2018) - [j129]Rakesh Katuwal, Ponnuthurai N. Suganthan, Le Zhang:
An ensemble of decision trees with random vector functional link networks for multi-class classification. Appl. Soft Comput. 70: 1146-1153 (2018) - [j128]Arindam Majumder, Dipak Laha, Ponnuthurai N. Suganthan:
A hybrid cuckoo search algorithm in parallel batch processing machines with unequal job ready times. Computers & Industrial Engineering 124: 65-76 (2018) - [j127]Partha P. Biswas, Ponnuthurai N. Suganthan, Rammohan Mallipeddi, Gehan A. J. Amaratunga:
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques. Eng. Appl. of AI 68: 81-100 (2018) - [j126]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Ali M. Shatnawi, Robert G. Reynolds:
An improved class of real-coded Genetic Algorithms for numerical optimization✰. Neurocomputing 275: 155-166 (2018) - [j125]Guohua Wu, Xin Shen, Haifeng Li, Huangke Chen, Anping Lin, Ponnuthurai N. Suganthan:
Ensemble of differential evolution variants. Inf. Sci. 423: 172-186 (2018) - [j124]Mostafa Z. Ali, Noor H. Awad, Robert G. Reynolds, Ponnuthurai N. Suganthan:
A balanced fuzzy Cultural Algorithm with a modified Levy flight search for real parameter optimization. Inf. Sci. 447: 12-35 (2018) - [j123]Noor H. Awad, Mostafa Z. Ali, Rammohan Mallipeddi, Ponnuthurai N. Suganthan:
An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization. Inf. Sci. 451-452: 326-347 (2018) - [j122]Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting. Knowl.-Based Syst. 145: 182-196 (2018) - [j121]Bin Huang, Weihai Chen, Xingming Wu, Chun-Liang Lin, Ponnuthurai Nagaratnam Suganthan:
High-quality face image generated with conditional boundary equilibrium generative adversarial networks. Pattern Recognition Letters 111: 72-79 (2018) - [j120]Ali Wagdy Mohamed, Ponnuthurai Nagaratnam Suganthan:
Real-parameter unconstrained optimization based on enhanced fitness-adaptive differential evolution algorithm with novel mutation. Soft Comput. 22(10): 3215-3235 (2018) - [j119]B. Y. Qu, Y. S. Zhu, Y. C. Jiao, M. Y. Wu, Ponnuthurai N. Suganthan, J. J. Liang:
A survey on multi-objective evolutionary algorithms for the solution of the environmental/economic dispatch problems. Swarm and Evolutionary Computation 38: 1-11 (2018) - [j118]Nandar Lynn, Mostafa Z. Ali, Ponnuthurai Nagaratnam Suganthan:
Population topologies for particle swarm optimization and differential evolution. Swarm and Evolutionary Computation 39: 24-35 (2018) - [j117]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble of parameters in a sinusoidal differential evolution with niching-based population reduction. Swarm and Evolutionary Computation 39: 141-156 (2018) - [c170]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Distribution Network Reconfiguration Together with Distributed Generator and Shunt Capacitor Allocation for Loss Minimization. CEC 2018: 1-7 - [c169]Vikas Palakonda, Noor H. Awad, Rammohan Mallipeddi, Mostafa Z. Ali, Kalyana C. Veluvolu, Ponnuthurai N. Suganthan:
Differential Evolution with Stochastic Selection for Uncertain Environments: A Smart Grid Application. CEC 2018: 1-7 - [c168]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. IJCNN 2018: 1-8 - [c167]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction. SMC 2018: 249-254 - [c166]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting. SSCI 2018: 1758-1763 - [c165]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Dropout and DropConnect based Ensemble of Random Vector Functional Link Neural Network. SSCI 2018: 1772-1778 - [i1]Rakesh Katuwal, Ponnuthurai N. Suganthan:
Enhancing Multi-Class Classification of Random Forest using Random Vector Functional Neural Network and Oblique Decision Surfaces. CoRR abs/1802.01240 (2018) - 2017
- [j116]Xueheng Qiu, Ye Ren, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting. Appl. Soft Comput. 54: 246-255 (2017) - [j115]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Ensemble particle swarm optimizer. Appl. Soft Comput. 55: 533-548 (2017) - [j114]Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network. Appl. Soft Comput. 60: 268-280 (2017) - [j113]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Haifeng Li:
Using variable reduction strategy to accelerate evolutionary optimization. Appl. Soft Comput. 61: 283-293 (2017) - [j112]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution. Appl. Soft Comput. 61: 486-496 (2017) - [j111]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Benchmarking Ensemble Classifiers with Novel Co-Trained Kernal Ridge Regression and Random Vector Functional Link Ensembles [Research Frontier]. IEEE Comp. Int. Mag. 12(4): 61-72 (2017) - [j110]Mehmet Fatih Tasgetiren, Damla Kizilay, Quan-Ke Pan, Ponnuthurai N. Suganthan:
Iterated greedy algorithms for the blocking flowshop scheduling problem with makespan criterion. Computers & OR 77: 111-126 (2017) - [j109]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
CADE: A hybridization of Cultural Algorithm and Differential Evolution for numerical optimization. Inf. Sci. 378: 215-241 (2017) - [j108]Xueheng Qiu, Le Zhang, Ponnuthurai Nagaratnam Suganthan, Gehan A. J. Amaratunga:
Oblique random forest ensemble via Least Square Estimation for time series forecasting. Inf. Sci. 420: 249-262 (2017) - [j107]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Robust visual tracking via co-trained Kernelized correlation filters. Pattern Recognition 69: 82-93 (2017) - [j106]Shyam Sundar, Ponnuthurai N. Suganthan, Tay Jin Chua, Tian Xiang Cai, Chong Chin Soon:
A hybrid artificial bee colony algorithm for the job-shop scheduling problem with no-wait constraint. Soft Comput. 21(5): 1193-1202 (2017) - [j105]Anguluri Rajasekhar, Nandar Lynn, Swagatam Das, Ponnuthurai N. Suganthan:
Computing with the collective intelligence of honey bees - A survey. Swarm and Evolutionary Computation 32: 25-48 (2017) - [j104]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai Nagaratnam Suganthan, Robert G. Reynolds:
An Adaptive Multipopulation Differential Evolution With Dynamic Population Reduction. IEEE Trans. Cybernetics 47(9): 2768-2779 (2017) - [j103]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking With Convolutional Random Vector Functional Link Network. IEEE Trans. Cybernetics 47(10): 3243-3253 (2017) - [c164]Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga:
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. CEC 2017: 77-82 - [c163]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal placement of wind turbines in a windfarm using L-SHADE algorithm. CEC 2017: 83-88 - [c162]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. CEC 2017: 372-379 - [c161]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi:
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. CEC 2017: 380-386 - [c160]Le Zhang, Jagannadan Varadarajan, Ponnuthurai Nagaratnam Suganthan, Narendra Ahuja, Pierre Moulin:
Robust Visual Tracking Using Oblique Random Forests. CVPR 2017: 5825-5834 - [c159]Katuwal Rakesh, Ponnuthurai N. Suganthan:
An Ensemble of Kernel Ridge Regression for Multi-class Classification. ICCS 2017: 375-383 - [c158]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines. ICCS 2017: 1308-1317 - [c157]Partha P. Biswas, Rammohan Mallipeddi, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution. SSCI 2017: 1-7 - [c156]Wen Xin Cheng, Rakesh Katuwal, Ponnuthurai N. Suganthan, Xueheng Qiu:
A heterogeneous ensemble of trees. SSCI 2017: 1-6 - [c155]Xueheng Qiu, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques. SSCI 2017: 1-8 - 2016
- [j102]Ye Ren, Le Zhang, Ponnuthurai N. Suganthan:
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]. IEEE Comp. Int. Mag. 11(1): 41-53 (2016) - [j101]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Tay Jin Chua, Chin-Soon Chong, Tian Xiang Cai:
An improved artificial bee colony algorithm for flexible job-shop scheduling problem with fuzzy processing time. Expert Syst. Appl. 65: 52-67 (2016) - [j100]Guohua Wu, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan, Rui Wang, Huangke Chen:
Differential evolution with multi-population based ensemble of mutation strategies. Inf. Sci. 329: 329-345 (2016) - [j99]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Rehab M. Duwairi, Robert G. Reynolds:
A novel hybrid Cultural Algorithms framework with trajectory-based search for global numerical optimization. Inf. Sci. 334-335: 219-249 (2016) - [j98]Bo-Yang Qu, Jing J. Liang, Y. S. Zhu, Z. Y. Wang, Ponnuthurai N. Suganthan:
Economic emission dispatch problems with stochastic wind power using summation based multi-objective evolutionary algorithm. Inf. Sci. 351: 48-66 (2016) - [j97]Le Zhang, Ponnuthurai N. Suganthan:
A survey of randomized algorithms for training neural networks. Inf. Sci. 364-365: 146-155 (2016) - [j96]Ye Ren, Ponnuthurai N. Suganthan, Narasimalu Srikanth, Gehan A. J. Amaratunga:
Random vector functional link network for short-term electricity load demand forecasting. Inf. Sci. 367-368: 1078-1093 (2016) - [j95]Le Zhang, Ponnuthurai N. Suganthan:
A comprehensive evaluation of random vector functional link networks. Inf. Sci. 367-368: 1094-1105 (2016) - [j94]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
A decremental stochastic fractal differential evolution for global numerical optimization. Inf. Sci. 372: 470-491 (2016) - [j93]Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong:
Discrete harmony search algorithm for flexible job shop scheduling problem with multiple objectives. J. Intelligent Manufacturing 27(2): 363-374 (2016) - [j92]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Quan-Ke Pan, Mehmet Fatih Tasgetiren, Ali Sadollah:
Artificial bee colony algorithm for scheduling and rescheduling fuzzy flexible job shop problem with new job insertion. Knowl.-Based Syst. 109: 1-16 (2016) - [j91]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan, Robert G. Reynolds:
A modified cultural algorithm with a balanced performance for the differential evolution frameworks. Knowl.-Based Syst. 111: 73-86 (2016) - [j90]B. Y. Qu, J. J. Liang, Z. Y. Wang, Q. Chen, Ponnuthurai N. Suganthan:
Novel benchmark functions for continuous multimodal optimization with comparative results. Swarm and Evolutionary Computation 26: 23-34 (2016) - [j89]Swagatam Das, Sankha Subhra Mullick, Ponnuthurai N. Suganthan:
Recent advances in differential evolution - An updated survey. Swarm and Evolutionary Computation 27: 1-30 (2016) - [j88]Sheldon Hui, Ponnuthurai N. Suganthan:
Ensemble and Arithmetic Recombination-Based Speciation Differential Evolution for Multimodal Optimization. IEEE Trans. Cybernetics 46(1): 64-74 (2016) - [j87]Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Amer F. Al-Badarneh:
Leveraged Neighborhood Restructuring in Cultural Algorithms for Solving Real-World Numerical Optimization Problems. IEEE Trans. Evolutionary Computation 20(2): 218-231 (2016) - [j86]Ye Ren, Ponnuthurai Nagaratnam Suganthan, Narasimalu Srikanth:
A Novel Empirical Mode Decomposition With Support Vector Regression for Wind Speed Forecasting. IEEE Trans. Neural Netw. Learning Syst. 27(8): 1793-1798 (2016) - [c154]Cemre Cubukcuoglu, Ayca Kirimtat, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
Multi-objective harmony search algorithm for layout design in theatre hall acoustics. CEC 2016: 2280-2287 - [c153]Mert Paldrak, Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Ke Pan:
An ensemble of differential evolution algorithms with variable neighborhood search for constrained function optimization. CEC 2016: 2610-2617 - [c152]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds:
An ensemble sinusoidal parameter adaptation incorporated with L-SHADE for solving CEC2014 benchmark problems. CEC 2016: 2958-2965 - [c151]Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Edward Jaser:
Differential evolution with stochastic fractal search algorithm for global numerical optimization. CEC 2016: 3154-3161 - [c150]Ayca Kirimtat, Basak Kundakci Koyunbaba, Ioannis Chatzikonstantinou, I. Sevil Sariyildiz, Ponnuthurai Nagaratnam Suganthan:
Multi-objective optimization for shading devices in buildings by using evolutionary algorithms. CEC 2016: 3917-3924 - [c149]Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network. SMC 2016: 1394-1399 - [c148]Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm. SocProS (2) 2016: 131-141 - [e10]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy:
Swarm, Evolutionary, and Memetic Computing - 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9873, Springer 2016, ISBN 978-3-319-48958-2 [contents] - 2015
- [j85]Iztok Fister Jr., Karin Ljubic, Ponnuthurai Nagaratnam Suganthan, Matjaz Perc, Iztok Fister:
Computational intelligence in sports: Challenges and opportunities within a new research domain. Applied Mathematics and Computation 262: 178-186 (2015) - [j84]Mostafa Z. Ali, Noor H. Awad, Ponnuthurai N. Suganthan:
Multi-population differential evolution with balanced ensemble of mutation strategies for large-scale global optimization. Appl. Soft Comput. 33: 304-327 (2015) - [j83]Guohua Wu, Witold Pedrycz, Ponnuthurai N. Suganthan, Rammohan Mallipeddi:
A variable reduction strategy for evolutionary algorithms handling equality constraints. Appl. Soft Comput. 37: 774-786 (2015) - [j82]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Mehmet Fatih Tasgetiren, Quan-Ke Pan, Qiang Qiang Sun:
Effective ensembles of heuristics for scheduling flexible job shop problem with new job insertion. Computers & Industrial Engineering 90: 107-117 (2015) - [j81]Dipak Laha, Ren Ye, Ponnuthurai N. Suganthan:
Modeling of steelmaking process with effective machine learning techniques. Expert Syst. Appl. 42(10): 4687-4696 (2015) - [j80]Kai-Zhou Gao, Ponnuthurai Nagaratnam Suganthan, Tay Jin Chua, Chin-Soon Chong, Tian Xiang Cai, Quan-Ke Pan:
A two-stage artificial bee colony algorithm scheduling flexible job-shop scheduling problem with new job insertion. Expert Syst. Appl. 42(21): 7652-7663 (2015) - [j79]Xiaodong Li, Ke Tang, Ponnuthurai N. Suganthan, Zhenyu Yang:
Editorial for the special issue of Information Sciences Journal (ISJ) on "Nature-inspired algorithms for large scale global optimization". Inf. Sci. 316: 437-439 (2015) - [j78]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation. Swarm and Evolutionary Computation 24: 11-24 (2015) - [j77]Le Zhang, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine. IEEE Trans. Cybernetics 45(10): 2165-2176 (2015) - [c147]Mostafa Z. Ali, Noor H. Awad, Rehab Duwairi, Jafar Albadarneh, Robert G. Reynolds, Ponnuthurai N. Suganthan:
Cluster-Based Differential Evolution with Heterogeneous Influence for numerical optimization. CEC 2015: 393-400 - [c146]Nandar Lynn, Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment. SEMCCO 2015: 1-16 - [c145]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Visual Tracking with Convolutional Neural Network. SMC 2015: 2072-2077 - [c144]Nandar Lynn, Ponnuthurai Nagaratnam Suganthan:
Modified Artificial Bee Colony Algorithm with Comprehensive Learning Re-initialization Strategy. SMC 2015: 2129-2134 - [c143]Ye Ren, Xueheng Qiu, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Detecting Wind Power Ramp with Random Vector Functional Link (RVFL) Network. SSCI 2015: 687-694 - [e9]Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das:
Swarm, Evolutionary, and Memetic Computing - 5th International Conference, SEMCCO 2014, Bhubaneswar, India, December 18-20, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8947, Springer 2015, ISBN 978-3-319-20293-8 [contents] - 2014
- [j76]Ling Wang, Chen Fang, Ponnuthurai Nagaratnam Suganthan, Min Liu:
Solving system-level synthesis problem by a multi-objective estimation of distribution algorithm. Expert Syst. Appl. 41(5): 2496-2513 (2014) - [j75]Rammohan Mallipeddi, Ponnuthurai Nagaratnam Suganthan:
Unit commitment - a survey and comparison of conventional and nature inspired algorithms. IJBIC 6(2): 71-90 (2014) - [j74]Gajaruban Kandavanam, Rammohan Mallipeddi, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan:
Achieving high robustness and performance in QoS-aware route planning for IPTV networks. Inf. Sci. 269: 217-237 (2014) - [j73]Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera:
Analyzing convergence performance of evolutionary algorithms: A statistical approach. Inf. Sci. 289: 41-58 (2014) - [j72]Kai-Zhou Gao, Ponnuthurai N. Suganthan, Quan-Ke Pan, Tay Jin Chua, Tian Xiang Cai, Chin-Soon Chong:
Pareto-based grouping discrete harmony search algorithm for multi-objective flexible job shop scheduling. Inf. Sci. 289: 76-90 (2014) - [j71]Junqing Li, Quan-Ke Pan, Kun Mao, Ponnuthurai N. Suganthan:
Solving the steelmaking casting problem using an effective fruit fly optimisation algorithm. Knowl.-Based Syst. 72: 28-36 (2014) - [j70]Le Zhang, Ponnuthurai Nagaratnam Suganthan:
Random Forests with ensemble of feature spaces. Pattern Recognition 47(10): 3429-3437 (2014) - [c142]Sheldon Hui, Ponnuthurai Nagaratnam Suganthan:
Niching-based Self-adaptive Ensemble DE with MMTS for solving dynamic optimization problems. IEEE Congress on Evolutionary Computation 2014: 1536-1541 - [c141]Rammohan Mallipeddi, Guohua Wu, Minho Lee, Ponnuthurai Nagaratnam Suganthan:
Gaussian adaptation based parameter adaptation for differential evolution. IEEE Congress on Evolutionary Computation 2014: 1760-1767 - [c140]Mostafa Z. Ali, Abdulmalik Morghem, Jafar Albadarneh, Rami Al-Gharaibeh, Ponnuthurai N. Suganthan, Robert G. Reynolds:
Cultural Algorithms applied to the evolution of robotic soccer team tactics: A novel perspective. IEEE Congress on Evolutionary Computation 2014: 2180-2187 - [c139]Subhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello:
Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. IEEE Congress on Evolutionary Computation 2014: 3192-3199 - [c138]Xueheng Qiu, Le Zhang, Ye Ren, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Ensemble deep learning for regression and time series forecasting. CIEL 2014: 21-26 - [c137]Ye Ren, Xueheng Qiu, Ponnuthurai Nagaratnam Suganthan:
Empirical mode decomposition based adaboost-backpropagation neural network method for wind speed forecasting. CIEL 2014: 35-40 - [c136]