CDABC: chaotic discrete artificial bee colony algorithm for multi-level clustering in large-scale WSNs. - Mohammad Masdari; Saeid Barshandeh; Suat Ozdemir (J. Supercomput., 2019)

Sink selection and clustering using fuzzy-based controller for wireless sensor networks. - Ali Shahidinejad; Saeid Barshandeh (Int. J. Commun. Syst., 2020)

Discrete teaching-learning-based optimization algorithm for clustering in wireless sensor networks. - Mohammad Masdari; Saeid Barshandeh (J. Ambient Intell. Humaniz. Comput., 2020)

A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems. - Saeid Barshandeh; Maryam Haghzadeh (Eng. Comput., 2021)

Discrete farmland fertility optimization algorithm with metropolis acceptance criterion for traveling salesman problems. - Abdollahzadeh Benyamin; Farhad Soleimanian Gharehchopogh; Saeid Barshandeh (Int. J. Intell. Syst., 2021)

HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems. - Saeid Barshandeh; Farhad Piri; Simin Rasooli Sangani (Eng. Comput., 2022)

An enhanced binary slime mould algorithm for solving the 0-1 knapsack problem. - Benyamin Abdollahzadeh; Saeid Barshandeh; Hatef Javadi; Nicola Epicoco (Eng. Comput., 2022)

A learning automata-based hybrid MPA and JS algorithm for numerical optimization problems and its application on data clustering. - Saeid Barshandeh; Reza Dana; Parinaz Eskandarian (Knowl. Based Syst., 2022)

A range-free localization algorithm for IoT networks. - Saeid Barshandeh; Mohammad Masdari; Gaurav Dhiman; Vahid Hosseini; Krishna Kant Singh (Int. J. Intell. Syst., 2022)

A learning-based metaheuristic administered positioning model for 3D IoT networks. - Saeid Barshandeh; Shima Koulaeizadeh; Mohammad Masdari; Benyamin Abdollahzadeh; Mahsa Ghasembaglou (Appl. Soft Comput., 2023)

A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT. - Farhad Soleimanian Gharehchopogh; Benyamin Abdollahzadeh; Saeid Barshandeh; Bahman Arasteh (Internet Things, 2023)

Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning. - Benyamin Abdollahzadeh; Nima Khodadadi; Saeid Barshandeh; Pavel Trojovský; Farhad Soleimanian Gharehchopogh; El-Sayed M. El-Kenawy; Laith Abualigah; Seyedali Mirjalili (Clust. Comput., 2024)