Sasan Harifi

Orcid: 0000-0002-6788-8222

According to our database1, Sasan Harifi authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2024
A Giza Pyramids Construction metaheuristic approach based on upper bound calculation for solving the network reliability problem.
Appl. Soft Comput., 2024

2023
Zigzag mutation: a new mutation operator to improve the genetic algorithm.
Multim. Tools Appl., December, 2023

Swarm based automatic clustering using nature inspired Emperor Penguins Colony algorithm.
Evol. Syst., December, 2023

An improved Girvan-Newman community detection algorithm using trust-based centrality.
J. Ambient Intell. Humaniz. Comput., 2023

2022
A binary ancient-inspired Giza Pyramids Construction metaheuristic algorithm for solving 0-1 knapsack problem.
Soft Comput., 2022

An optimized evacuation model with compatibility constraints in the context of disability: an ancient-inspired Giza Pyramids Construction metaheuristic approach.
Appl. Intell., 2022

2021
Hybrid-EPC: an Emperor Penguins Colony algorithm with crossover and mutation operators and its application in community detection.
Prog. Artif. Intell., 2021

Optimization in solving inventory control problem using nature inspired Emperor Penguins Colony algorithm.
J. Intell. Manuf., 2021

Giza Pyramids Construction: an ancient-inspired metaheuristic algorithm for optimization.
Evol. Intell., 2021

2020
Optimizing a Neuro-Fuzzy System Based on Nature-Inspired Emperor Penguins Colony Optimization Algorithm.
IEEE Trans. Fuzzy Syst., 2020

Using Metaheuristic Algorithms to Improve k-Means Clustering: A Comparative Study.
Rev. d'Intelligence Artif., 2020

An approach based on Combination of Features for automatic news retrieval.
CoRR, 2020

2019
Emperor Penguins Colony: a new metaheuristic algorithm for optimization.
Evol. Intell., 2019

2017
Comparative Study of Apache Spark MLlib Clustering Algorithms.
Proceedings of the Data Mining and Big Data - Second International Conference, 2017


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