Rammohan Mallipeddi

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R. Prof. P. N. Suganthan, FIEEE'2015,...KINDI Computing Research, Qatar University (Hon Doc: U of Maribor; BA/MA: Cambridge U, UKVerified email at qu.edu.qa
Minho LeeProfessor, School of Electronics Engineering, Kyungpook National UniversityVerified email at knu.ac.kr
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVerified email at isical.ac.in
Guohua WuCentral South UniversityVerified email at nudt.edu.cn
Abhishek KumarKyungpook National University, DaeguVerified email at itbhu.ac.in
Oladayo S. AjaniPostdoctoral Research Associate, Kyungpook National UniversityVerified email at knu.ac.kr
Trinadh PamulapatiResearch Associate, Newcastle UniversityVerified email at newcastle.ac.uk
Partha P BiswasSingapore Power Group, SingaporeVerified email at e.ntu.edu.sg
Daniel Dooyum UyehMichigan State UniversityVerified email at msu.edu
Yushin HaKyungpook National UniversityVerified email at knu.ac.kr
Vikas PalakondaPost Doctoral ResearcherVerified email at knu.ac.kr
Tusan ParkAssociate professor, Dept. Smart Bio-industrial Mechanical Engineering, Kyungpook Natl. Univ.Verified email at knu.ac.kr
Mostafa Z. AliProfessor of Computer Science, Jordan University of Science and TechnologyVerified email at just.edu.jo
Quan-ke panState Key Laboratory of Synthetical Automation for Process Industries, Northeastern UniversityVerified email at mail.neu.edu.cn
Gehan AmaratungaEmeritus Professor of Electrical Engineering, University of Cambridge; Professor Zhejiang UniversityVerified email at cam.ac.uk
Mehmet Fatih TasgetirenIndustrial Engineering Department, Baskent University, Ankara, TurkeyVerified email at baskent.edu.tr
Dr. K. C. VeluvoluProfessor of Electrical and Electronics EngineeringVerified email at ee.knu.ac.kr
Dr Kedar Nath DasNIT Silchar, AssamVerified email at math.nits.ac.in
Arka Ghosh, PhDAssociate Researcher, DeustoTech, University of Deusto, SpainVerified email at deusto.es
Asit Kumar DasProfessor, Department of CST, IIEST Shibpur, HowrahVerified email at cs.iiests.ac.in

Rammohan Mallipeddi

Professor, Department of Artificial Intelligence, School of Electronics, Kyungpook

Verified email at knu.ac.kr - Homepage

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Differential evolution algorithm with ensemble of parameters and mutation strategies R Mallipeddi, PN Suganthan, QK Pan, MF Tasgetiren Applied soft computing 11 (2), 1679-1696, 2011	1506	2011
Problem definitions and evaluation criteria for the CEC 2017 competition on constrained real-parameter optimization G Wu, R Mallipeddi, PN Suganthan National University of Defense Technology, Changsha, Hunan, PR China and …, 2017	781*	2017
Differential evolution with multi-population based ensemble of mutation strategies G Wu, R Mallipeddi, PN Suganthan, R Wang, H Chen Information Sciences 329, 329-345, 2016	557	2016
Ensemble of constraint handling techniques R Mallipeddi, PN Suganthan IEEE Transactions on Evolutionary Computation 14 (4), 561-579, 2010	526	2010
A test-suite of non-convex constrained optimization problems from the real-world and some baseline results A Kumar, G Wu, MZ Ali, R Mallipeddi, PN Suganthan, S Das Swarm and Evolutionary Computation 56, 100693, 2020	351	2020
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques PP Biswas, PN Suganthan, R Mallipeddi, GAJ Amaratunga Engineering Applications of Artificial Intelligence 68, 81-100, 2018	286	2018
Ensemble strategies for population-based optimization algorithms–A survey G Wu, R Mallipeddi, PN Suganthan Swarm and evolutionary computation 44, 695-711, 2019	264	2019
A differential evolution algorithm with self-adapting strategy and control parameters QK Pan, PN Suganthan, L Wang, L Gao, R Mallipeddi Computers & Operations Research 38 (1), 394-408, 2011	204	2011
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach PP Biswas, PN Suganthan, R Mallipeddi, GAJ Amaratunga Applied Soft Computing 75, 616-632, 2019	179	2019
Problem definitions and evaluation criteria for the CEC 2017 competition and special session on constrained single objective real-parameter optimization G Wu, R Mallipeddi, P Suganthan Nanyang Technol. Univ., Singapore, Tech. Rep, 1-18, 2016	173	2016
+—An Indicator for Multi and Many-Objective Optimization T Pamulapati, R Mallipeddi, PN Suganthan IEEE Transactions on Evolutionary Computation 23 (2), 346-352, 2018	162	2018
A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network PP Biswas, R Mallipeddi, PN Suganthan, GAJ Amaratunga Applied soft computing 60, 268-280, 2017	152	2017
A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results A Kumar, G Wu, MZ Ali, Q Luo, R Mallipeddi, PN Suganthan, S Das Swarm and Evolutionary Computation 67, 100961, 2021	145	2021
Ensemble strategies with adaptive evolutionary programming R Mallipeddi, S Mallipeddi, PN Suganthan Information Sciences 180 (9), 1571-1581, 2010	145	2010
Efficient constraint handling for optimal reactive power dispatch problems R Mallipeddi, S Jeyadevi, PN Suganthan, S Baskar Swarm and Evolutionary Computation 5, 28-36, 2012	140	2012
Multi-objective optimization using self-adaptive differential evolution algorithm VL Huang, SZ Zhao, R Mallipeddi, PN Suganthan 2009 IEEE congress on evolutionary computation, 190-194, 2009	136	2009
Differential evolution algorithm with ensemble of parameters and mutation and crossover strategies R Mallipeddi, PN Suganthan Swarm, Evolutionary, and Memetic Computing: First International Conference …, 2010	134	2010
A variable reduction strategy for evolutionary algorithms handling equality constraints G Wu, W Pedrycz, PN Suganthan, R Mallipeddi Applied soft computing 37, 774-786, 2015	125	2015
Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems R Mallipeddi, PN Suganthan IEEE congress on evolutionary computation, 1-8, 2010	110	2010
An improved differential evolution algorithm using efficient adapted surrogate model for numerical optimization NH Awad, MZ Ali, R Mallipeddi, PN Suganthan Information Sciences 451, 326-347, 2018	102	2018

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