Basic and Hybrid Imperialist Competitive Algorithms for Solving the n-Queens Problem. - Ellips Masehian; Nasrin Mohabbati-Kalejahi; Hossein Akbaripour (IJCCI, 2012)

Basic and Hybrid Imperialist Competitive Algorithms for Solving the Non-attacking and Non-dominating n-Queens Problems. - Nasrin Mohabbati-Kalejahi; Hossein Akbaripour; Ellips Masehian (IJCCI (Selected Papers), 2012)

Landscape analysis and efficient metaheuristics for solving the n-queens problem. - Ellips Masehian; Hossein Akbaripour; Nasrin Mohabbati-Kalejahi (Comput. Optim. Appl., 2013)

Solving the n-queens problem using a tuned hybrid imperialist competitive algorithm. - Ellips Masehian; Hossein Akbaripour; Nasrin Mohabbati-Kalejahi (Int. Arab J. Inf. Technol., 2014)

An imperialist competitive algorithm for service composition and optimal selection in cloud manufacturing. - Hossein Akbaripour; Mahmoud Houshmand; Adeleh Kerdegari (ISCBI, 2017)

Service composition and optimal selection in cloud manufacturing: landscape analysis and optimization by a hybrid imperialist competitive and local search algorithm. - Hossein Akbaripour; Mahmoud Houshmand (Neural Comput. Appl., 2020)

GEPSO: A new generalized particle swarm optimization algorithm. - Davoud Sedighizadeh; Ellips Masehian; Mostafa Sedighizadeh; Hossein Akbaripour (Math. Comput. Simul., 2021)

A machine learning approach to address robust bi-objective gate assignment under aircraft's taxi delay uncertainties. - Majid Shadman; Ali Abdi Kordani; Hossein Akbaripour (Expert Syst. Appl., 2025)