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2020 – today
- 2024
[j26]Dikshit Chauhan
, Anupam Yadav:
An archive-based self-adaptive artificial electric field algorithm with orthogonal initialization for real-parameter optimization problems. Appl. Soft Comput. 150: 111109 (2024)- [j25]Indu Bala, Anupam Yadav, Joong Hoon Kim:
Optimization for cost-effective design of water distribution networks: a comprehensive learning approach. Evol. Intell. 17(4): 2981-3013 (2024) - [j24]Dikshit Chauhan, Anupam Yadav, Ferrante Neri:
A multi-agent optimization algorithm and its application to training multilayer perceptron models. Evol. Syst. 15(3): 849-879 (2024) - [j23]Dikshit Chauhan, Anupam Yadav:
Stability and agent dynamics of artificial electric field algorithm. J. Supercomput. 80(1): 835-864 (2024) - 2023
- [j22]Dikshit Chauhan, Anupam Yadav:
Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm. Eng. Appl. Artif. Intell. 123(Part C): 106469 (2023) - [j21]Dikshit Chauhan, Anupam Yadav:
An adaptive artificial electric field algorithm for continuous optimization problems. Expert Syst. J. Knowl. Eng. 40(9) (2023) - [j20]Dikshit Chauhan, Anupam Yadav:
Binary Artificial Electric Field Algorithm. Evol. Intell. 16(4): 1155-1183 (2023) - [j19]Dikshit Chauhan, Anupam Yadav:
A competitive and collaborative-based multilevel hierarchical artificial electric field algorithm for global optimization. Inf. Sci. 648: 119535 (2023) - 2022
- [j18]Anita Sajwan, Anupam Yadav:
A study of exploratory and stability analysis of artificial electric field algorithm. Appl. Intell. 52(9): 10805-10828 (2022) - [j17]Indu Bala, Anupam Yadav:
Niching comprehensive learning gravitational search algorithm for multimodal optimization problems. Evol. Intell. 15(1): 695-721 (2022) - [c15]Dikshit Chauhan, Anupam Yadav:
A Hybrid of Artificial Electric Field Algorithm and Differential Evolution for Continuous Optimization Problems. ICHSA 2022: 507-520 - [c14]Dikshit Chauhan, Anupam Yadav:
XOR-Based Binary AEFA: Theoretical Studies and Applications. SSCI 2022: 1706-1713 - [e1]Joong Hoon Kim, Kusum Deep, Zong Woo Geem, Ali Sadollah, Anupam Yadav:
Proceedings of 7th International Conference on Harmony Search, Soft Computing and Applications - ICHSA 2022, Seoul, South Korea. Lecture Notes on Data Engineering and Communications Technologies 140, Springer 2022, ISBN 978-981-19-2947-2 [contents] - 2021
- [j16]Anita, Anupam Yadav:
An Intelligent Model for the Detection of White Blood Cells using Artificial Intelligence. Comput. Methods Programs Biomed. 199: 105893 (2021) - [j15]Prasanna Ram, Anupam Yadav, Manish Kumar Suman, Anuj Kumar:
Graphene Based Circular Shaped Micro Strip Patch Antenna Array for 2.45 GHz ISM Band Application. Wirel. Pers. Commun. 116(3): 1613-1620 (2021) - [c13]Anupam Yadav:
Power Optimization of 8-bit Register on Ultra Scale FPGA using Low Voltage CMOS I/O Standard. ICCCNT 2021: 1-6 - [c12]Anupam Yadav:
Predicting Covid-19 using Random Forest Machine Learning Algorithm. ICCCNT 2021: 1-6 - 2020
- [j14]Anita, Anupam Yadav:
Discrete artificial electric field algorithm for high-order graph matching. Appl. Soft Comput. 92: 106260 (2020) - [j13]Anita, Anupam Yadav, Nitin Kumar:
Artificial electric field algorithm for engineering optimization problems. Expert Syst. Appl. 149: 113308 (2020) - [j12]Anupam Yadav, Ali Sadollah, Neha Yadav, Joong-Hoon Kim:
Self-adaptive global mine blast algorithm for numerical optimization. Neural Comput. Appl. 32(7): 2423-2444 (2020) - [j11]Indu Bala, Anupam Yadav:
Comprehensive learning gravitational search algorithm for global optimization of multimodal functions. Neural Comput. Appl. 32(11): 7347-7382 (2020)
2010 – 2019
- 2019
- [j10]Anupam Yadav, Neha Yadav, Joong Hoon Kim:
Recent advances in soft computing and its applications. J. Exp. Theor. Artif. Intell. 31(5): 699-700 (2019) - [j9]Hassan Sayyaadi, Ali Sadollah, Anupam Yadav, Neha Yadav:
Stability and iterative convergence of water cycle algorithm for computationally expensive and combinatorial Internet shopping optimisation problems. J. Exp. Theor. Artif. Intell. 31(5): 701-721 (2019) - [j8]Anita, Anupam Yadav:
AEFA: Artificial electric field algorithm for global optimization. Swarm Evol. Comput. 48: 93-108 (2019) - [c11]Anita, Anupam Yadav, Nitin Kumar:
Application of Artificial Electric Field Algorithm for Economic Load Dispatch Problem. SoCPaR 2019: 71-79 - [c10]Anita, Anupam Yadav, Nitin Kumar:
Artificial Electric Field Algorithm for Solving Real Parameter CEC 2017 Benchmark Problems. SocProS (1) 2019: 161-169 - 2018
- [j7]Ali Sadollah, Hassan Sayyaadi, Anupam Yadav:
A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm. Appl. Soft Comput. 71: 747-782 (2018) - 2017
- [j6]Neha Yadav, Anupam Yadav, Manoj Kumar, Joong Hoon Kim:
An efficient algorithm based on artificial neural networks and particle swarm optimization for solution of nonlinear Troesch's problem. Neural Comput. Appl. 28(1): 171-178 (2017) - [c9]Anupam Yadav, Neha Yadav, Joong Hoon Kim:
A Comparative Study of Exploration Ability of Harmony Search Algorithms. ICHSA 2017: 22-31 - [c8]Neha Yadav, Thi Thuy Ngo, Anupam Yadav, Joong Hoon Kim:
Numerical Solution of Boundary Value Problems Using Artificial Neural Networks and Harmony Search. ICHSA 2017: 112-118 - 2016
- [j5]Neha Yadav, Anupam Yadav, Joong Hoon Kim:
Numerical solution of unsteady advection dispersion equation arising in contaminant transport through porous media using neural networks. Comput. Math. Appl. 72(4): 1021-1030 (2016) - [j4]Anupam Yadav, Kusum Deep:
A shrinking hypersphere PSO for engineering optimisation problems. J. Exp. Theor. Artif. Intell. 28(1-2): 1-33 (2016) - [j3]Anupam Yadav, Kusum Deep, Joong Hoon Kim, Atulya K. Nagar:
Gravitational swarm optimizer for global optimization. Swarm Evol. Comput. 31: 64-89 (2016) - 2015
- [c7]Anupam Yadav, Neha Yadav, Joong Hoon Kim:
A Study of Harmony Search Algorithms: Exploration and Convergence Ability. ICHSA 2015: 53-62 - [c6]Neha Yadav, Joong Hoon Kim, Anupam Yadav:
Numerical Solution of a Class of Singular Boundary Value Problems Arising in Physiology Based on Neural Networks. SocProS (2) 2015: 673-681 - 2014
- [j2]Anupam Yadav, Kusum Deep:
An efficient co-swarm particle swarm optimization for non-linear constrained optimization. J. Comput. Sci. 5(2): 258-268 (2014) - [c5]Neha Yadav, Anupam Yadav, Kusum Deep:
Artificial Neural Network Technique for Solution of Nonlinear Elliptic Boundary Value Problems. SocProS (1) 2014: 113-121 - [c4]Anupam Yadav, Joong Hoon Kim:
A Niching Co-swarm Gravitational Search Algorithm for Multi-modal Optimization. SocProS (1) 2014: 599-607 - 2013
- [j1]Anupam Yadav, Kusum Deep:
Shrinking hypersphere based trajectory of particles in PSO. Appl. Math. Comput. 220: 246-267 (2013) - [c3]Anupam Yadav, Kusum Deep:
A Novel Co-swarm Gravitational Search Algorithm for Constrained Optimization. SocProS (1) 2013: 629-640 - 2011
- [c2]Anupam Yadav, Kusum Deep:
A New Disc Based Particle Swarm Optimization. SocProS (1) 2011: 23-30 - [c1]Sushil Kumar, Rama Sushil, Anilesh Kumar, Vijay Kumar Ray, Pratik Ghosh, Sachin Kumar, Swati Shikha, Sourabh Kumar, Ajay Paul, Anupam Yadav, Kusum Deep:
Timely Prediction of Tsunami Using under Sea Earthquake Signals. SocProS (2) 2011: 1011-1018
Coauthor Index
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