| Puma optimizer (PO): A novel metaheuristic optimization algorithm and its application in machine learning B Abdollahzadeh, N Khodadadi, S Barshandeh, P Trojovský, ... Cluster Computing, 1-49, 2024 | 134 | 2024 |
| A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems S Barshandeh, M Haghzadeh Engineering with Computers 37 (4), 3079-3122, 2021 | 113 | 2021 |
| A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT FS Gharehchopogh, B Abdollahzadeh, S Barshandeh, B Arasteh Internet of Things 24, 100952, 2023 | 93 | 2023 |
| Cqffa: A chaotic quasi-oppositional farmland fertility algorithm for solving engineering optimization problems FS Gharehchopogh, MH Nadimi-Shahraki, S Barshandeh, ... Journal of Bionic Engineering 20 (1), 158-183, 2023 | 76 | 2023 |
| HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems S Barshandeh, F Piri, SR Sangani Engineering with computers 38 (2), 1581-1625, 2022 | 70 | 2022 |
| Discrete farmland fertility optimization algorithm with metropolis acceptance criterion for traveling salesman problems A Benyamin, SG Farhad, B Saeid International Journal of Intelligent Systems 36 (3), 1270-1303, 2021 | 60 | 2021 |
| Discrete teaching–learning-based optimization algorithm for clustering in wireless sensor networks M Masdari, S Barshandeh Journal of Ambient Intelligence and Humanized Computing 11 (11), 5459-5476, 2020 | 59 | 2020 |
| CDABC: chaotic discrete artificial bee colony algorithm for multi-level clustering in large-scale WSNs M Masdari, S Barshande, S Ozdemir The Journal of Supercomputing 75 (11), 7174-7208, 2019 | 59 | 2019 |
| An enhanced binary slime mould algorithm for solving the 0–1 knapsack problem B Abdollahzadeh, S Barshandeh, H Javadi, N Epicoco Engineering with Computers, 1-22, 2022 | 48 | 2022 |
| A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering S Barshandeh, R Dana, P Eskandarian Knowledge-Based Systems 236, 107682, 2022 | 39 | 2022 |
| A range‐free localization algorithm for IoT networks S Barshandeh, M Masdari, G Dhiman, V Hosseini, KK Singh International Journal of Intelligent Systems 37 (12), 10336-10379, 2022 | 27 | 2022 |
| Sink selection and clustering using fuzzy‐based controller for wireless sensor networks A Shahidinejad, S Barshandeh International Journal of Communication Systems 33 (15), e4557, 2020 | 26 | 2020 |
| & Mirjalili, S.(2024). Puma optimizer (PO): A novel metaheuristic optimization algorithm and its application in machine learning B Abdollahzadeh, N Khodadadi, S Barshandeh, P Trojovský, ... Cluster Computing, 1-49, 0 | 14 | |
| A learning-based metaheuristic administered positioning model for 3D IoT networks S Barshandeh, S Koulaeizadeh, M Masdari, B AbdollahZadeh, ... Applied Soft Computing 136, 110113, 2023 | 5 | 2023 |
| Dual-Band Planar Microstrip Monopole Antenna Design Using Multi-Objective Hybrid Optimization Algorithm V Hosseini, F Shapour, P Pinho, Y Farhang, K Majidzadeh, C Ghobadi, ... 2023 Photonics & Electromagnetics Research Symposium (PIERS), 467-475, 2023 | 3 | 2023 |
| CHAM: A Multi-Population Hybrid Metaheuristic Algorithm for Optimal Controller Placement in Multi-Controller Software-Defined Networks AS Tasouji, V Solouk, S Barshandeh | | 2024 |
| Cham: A Multi-Population Hybrid Metaheuristic Algorithm for Optimal Controller Placement in Multi-Controller Software-Defined Networks A Sabouhi Tasouji, V Solouk, S Barshandeh Vahid and Barshandeh, Saeid, Cham: A Multi-Population Hybrid Metaheuristic …, 0 | | |
