World's Best Scientists 2026 revealed!
Farhad Soleimanian Gharehchopogh

Farhad Soleimanian Gharehchopogh

Award Badge
Computer Science
Iran
2026

D-Index & Metrics

Computer Science

D-Index
51
Citations
10908
World Ranking
5314
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in Iran Leader Award
  • 2025 - Research.com Computer Science in Iran Leader Award

Overview

Farhad Soleimanian Gharehchopogh is affiliated with the Islamic Azad University Of Urmia in Iran. Their research primarily focuses on various aspects of computer science and engineering, with significant contributions in the domains of artificial intelligence, computational theory, and electrical and electronic engineering.

The scientist's recent scholarly works include publications centered on metaheuristic optimization algorithms and comprehensive surveys of advanced search methods. Notable papers include:

  • "Advances in Sparrow Search Algorithm: A Comprehensive Survey," 2022, published in Archives of Computational Methods in Engineering
  • "Quantum-inspired metaheuristic algorithms: comprehensive survey and classification," 2022, published in Artificial Intelligence Review
  • "African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems," 2021, published in Computers & Industrial Engineering
  • "Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems," 2021, published in International Journal of Intelligent Systems
  • "Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems," 2022, published in Advances in Engineering Software

Their research topics cover a broad array of domains, including:

  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Evolutionary Algorithms and Applications
  • Spam and Phishing Detection
  • Network Security and Intrusion Detection
  • IoT and Edge/Fog Computing
  • Advanced Malware Detection Techniques

Their work spans significant subfields such as:

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

Among the frequent co-authors collaborating with Soleimanian Gharehchopogh are:

  • Mohammad Masdari
  • Benyamın Abdollahzadeh
  • Seyedali Mirjalili
  • Bahman Arasteh
  • Shakiba Rajabi

The venues where this researcher frequently publishes include:

  • Archives of Computational Methods in Engineering
  • Journal of Bionic Engineering
  • Cluster Computing
  • Multimedia Tools and Applications
  • Internet of Things

Their body of work encompasses over 290 publications, with the majority in computer science and engineering disciplines. This extensive output reflects a focus on both theoretical aspects and practical applications of optimization and intelligent systems within computing and networking contexts.

Best Publications

  • African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems

    Benyamin Abdollahzadeh;Farhad Soleimanian Gharehchopogh;Seyedali Mirjalili

  • Artificial gorilla troops optimizer: A new nature-inspired metaheuristic algorithm for global optimization problems

    Benyamin Abdollahzadeh;Farhad Soleimanian Gharehchopogh;Seyedali Mirjalili

  • A comprehensive survey: Whale Optimization Algorithm and its applications

    Farhad Soleimanian Gharehchopogh;Hojjat Gholizadeh

  • Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems

    Unknown

  • Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning

    Unknown

  • Advances in Sparrow Search Algorithm: A Comprehensive Survey

    Unknown

  • Farmland fertility: A new metaheuristic algorithm for solving continuous optimization problems

    Human Shayanfar;Farhad Soleimanian Gharehchopogh

  • Quantum-inspired metaheuristic algorithms: comprehensive survey and classification

    Unknown

  • An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems

    Unknown

  • A multi-objective optimization algorithm for feature selection problems

    Benyamin Abdollahzadeh;Farhad Soleimanian Gharehchopogh

  • An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems

    Hamid Reza Rafat Zaman;Farhad Soleimanian Gharehchopogh

  • A Feature Selection Based on the Farmland Fertility Algorithm for Improved Intrusion Detection Systems

    Unknown

  • An improved cuckoo search optimization algorithm with genetic algorithm for community detection in complex networks

    Unknown

  • Advances in Tree Seed Algorithm: A Comprehensive Survey

    Unknown

  • A comprehensive survey on symbiotic organisms search algorithms

    Farhad Soleimanian Gharehchopogh;Human Shayanfar;Hojjat Gholizadeh

  • Chaotic vortex search algorithm: metaheuristic algorithm for feature selection

    Farhad Soleimanian Gharehchopogh;Isa Maleki;Zahra Asheghi Dizaji

  • Analysis and evaluation of unstructured data: text mining versus natural language processing

    F. S. Gharehchopogh;Z. A. Khalifelu

  • An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation

    Unknown

  • A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT

    Unknown

  • Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data

    Unknown

  • Comparison and evaluation of data mining techniques with algorithmic models in software cost estimation

    Zeynab Abbasi Khalifelu;Farhad Soleimanian Gharehchopogh

  • A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: Case study Email spam detection

    Hekmat Mohammadzadeh;Farhad Soleimanian Gharehchopogh

  • Advances in Spotted Hyena Optimizer: A Comprehensive Survey

    Shafih Ghafori;Farhad Soleimanian Gharehchopogh

  • An efficient harris hawk optimization algorithm for solving the travelling salesman problem

    Farhad Soleimanian Gharehchopogh;Benyamin Abdollahzadeh

  • A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems

    Mina Javanmard Goldanloo;Farhad Soleimanian Gharehchopogh

  • An improved artificial bee colony algorithm based on whale optimization algorithm for data clustering

    Nouria Rahnema;Farhad Soleimanian Gharehchopogh

  • Neural networks application in software cost estimation: A case study

    Farhad Soleimanian Gharehchopogh

  • A wrapper‐based feature selection for improving performance of intrusion detection systems

    Maryam Samadi Bonab;Ali Ghaffari;Farhad Soleimanian Gharehchopogh;Payam Alemi

  • A multi‐agent system based for solving high‐dimensional optimization problems: A case study on email spam detection

    Hekmat Mohammadzadeh;Farhad Soleimanian Gharehchopogh

  • An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems

    Hekmat Mohmmadzadeh;Farhad Soleimanian Gharehchopogh

  • A LINEAR REGRESSION APPROACH TO PREDICTION OF STOCK MARKET TRADING VOLUME: A CASE STUDY

    Farhad Soleimanian Gharehchopogh;Tahmineh Haddadi Bonab;Seyyed Reza Khaze

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a variety of related online degrees and flexible career pathways. For those just starting their academic journey, associates degrees online are a practical option. These programs offer foundational knowledge and can serve as a stepping stone to a bachelor’s degree or direct entry into IT support roles.

Cost is a common concern for prospective students. Many affordable online colleges now offer competitive tuition rates, making it easier to earn a degree without undue financial strain. This ensures that high-quality education is accessible even if you are working or balancing family commitments.

If academic history is a barrier, several online graduate programs that accept 2.0 gpa are available. These programs value practical skills and industry experience, helping more students gain advanced credentials needed for career advancement.

Choosing a degree in computer science opens diverse possibilities. As with environmental programs, which prompt many to ask what can you do with an environmental studies degree , computer science graduates can pursue roles in software development, cybersecurity, data analysis, and more. This versatility ensures solid career opportunities in both established and emerging technology fields.

Best Scientists Citing Farhad Soleimanian Gharehchopogh

Trending Scientists

Recently Published Articles