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Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection.

, , , and . Prog. Artif. Intell., 10 (2): 181-193 (2021)

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Risk ranking in mega projects by fuzzy compromise approach: A comparative analysis., , , and . J. Intell. Fuzzy Syst., 26 (2): 949-959 (2014)Selection of IT outsourcing services' activities considering services cost and risks by designing an interval-valued hesitant fuzzy-decision approach., , , and . J. Intell. Fuzzy Syst., 32 (6): 4081-4093 (2017)Soft computing-based preference selection index method for human resource management., , and . J. Intell. Fuzzy Syst., 26 (1): 393-403 (2014)Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection., , , and . Prog. Artif. Intell., 10 (2): 181-193 (2021)A robust location-arc routing problem under uncertainty: mathematical model with lower and upper bounds., , and . Comput. Appl. Math., (2020)Optimizing a Neuro-Fuzzy System Based on Nature-Inspired Emperor Penguins Colony Optimization Algorithm., , , and . IEEE Trans. Fuzzy Syst., 28 (6): 1110-1124 (2020)Emperor Penguins Colony: a new metaheuristic algorithm for optimization., , , and . Evol. Intell., 12 (2): 211-226 (2019)Using Metaheuristic Algorithms to Improve k-Means Clustering: A Comparative Study., , , and . Rev. d'Intelligence Artif., 34 (3): 297-305 (2020)Development of an Input-Output Model Considering Simultaneous Effect of Risks in Infrastructure under Dynamic Conditions., , and . Reliab. Eng. Syst. Saf., (2021)An Artificial Intelligence Model-Based Locally Linear Neuro-Fuzzy for Construction Project Selection., , , and . J. Multiple Valued Log. Soft Comput., 25 (6): 589-604 (2015)