Search Results - "Soleimanian Gharehchopogh, Farhad"

A Critical Review of Moth-Flame Optimization Algorithm and Its Variants: Structural Reviewing, Performance Evaluation, and Statistical Analysis by Zamani, Hoda, Nadimi-Shahraki, Mohammad H., Mirjalili, Seyedali, Soleimanian Gharehchopogh, Farhad, Oliva, Diego

“…A growing trend of introducing new metaheuristic algorithms and their improvements is observed with almost the same inherited weaknesses. The main reason is…”
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Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems by Abdollahzadeh, Benyamin, Soleimanian Gharehchopogh, Farhad, Mirjalili, Seyedali

“…Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms…”
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Community Detection in Social Networks Using a Local Approach Based on Node Ranking by Sheykhzadeh, Jafar, Zarei, Bagher, Soleimanian Gharehchopogh, Farhad

“…Community detection is crucial for analyzing the structure of social networks and extracting hidden information from them. The goal is to find groups of nodes…”
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An Improved African Vulture Optimization Algorithm for Feature Selection Problems and Its Application of Sentiment Analysis on Movie Reviews by Shaddeli, Aitak, Soleimanian Gharehchopogh, Farhad, Masdari, Mohammad, Solouk, Vahid

“…The African Vulture Optimization Algorithm (AVOA) is inspired by African vultures’ feeding and orienting behaviors. It comprises powerful operators while…”
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African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems by Abdollahzadeh, Benyamin, Gharehchopogh, Farhad Soleimanian, Mirjalili, Seyedali

“…•A new metaheuristic algorithm is proposed inspired by African vultures’ lifestyle.•The proposed algorithm is first tested on 36 standard test…”
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A Modified Horse Herd Optimization Algorithm and Its Application in the Program Source Code Clustering by Arasteh, Bahman, Gunes, Peri, Bouyer, Asgarali, Soleimanian Gharehchopogh, Farhad, Alipour Banaei, Hamed, Ghanbarzadeh, Reza

“…Maintenance is one of the costliest phases in the software development process. If architectural design models are accessible, software maintenance can be made…”
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An improved whale optimization algorithm based on multi-population evolution for global optimization and engineering design problems by Shen, Ya, Zhang, Chen, Soleimanian Gharehchopogh, Farhad, Mirjalili, Seyedali

“…•The population is divided into three sub-populations.•A novel population evolution strategy is introduced to improve the basic WOA.•The proposed algorithm…”
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Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems by Abdollahzadeh, Benyamin, Gharehchopogh, Farhad Soleimanian, Khodadadi, Nima, Mirjalili, Seyedali

“…•A novel meta-heuristic is proposed inspired by the social life and hierarchy of wild mountain gazelles.•Gazelles' hierarchical and social life is formulated…”
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MOAVOA: a new multi-objective artificial vultures optimization algorithm by Khodadadi, Nima, Soleimanian Gharehchopogh, Farhad, Mirjalili, Seyedali

“…This paper presents a multi-objective version of the artificial vultures optimization algorithm (AVOA) for a multi-objective optimization problem called a…”
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A multi‐agent system based for solving high‐dimensional optimization problems: A case study on email spam detection by Mohammadzadeh, Hekmat, Gharehchopogh, Farhad Soleimanian

“…Summary There exist numerous high‐dimensional problems in the real world which cannot be solved through the common traditional methods. The metaheuristic…”
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Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm by Asgharzadeh, Hossein, Ghaffari, Ali, Masdari, Mohammad, Soleimanian Gharehchopogh, Farhad

“…Nowadays, the growth and pervasiveness of Internet of Things (IoT) devices have led to increased attacks by hackers and attackers. On the other hand, using IoT…”
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A wrapper‐based feature selection for improving performance of intrusion detection systems by Samadi Bonab, Maryam, Ghaffari, Ali, Soleimanian Gharehchopogh, Farhad, Alemi, Payam

“…Summary Along with expansion in using of Internet and computer networks, the privacy, integrity, and access to digital resources have been faced with permanent…”
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A Chaotic-Based Interactive Autodidactic School Algorithm for Data Clustering Problems and Its Application on COVID-19 Disease Detection by Gharehchopogh, Farhad Soleimanian, Khargoush, Aysan Alavi

“…In many disciplines, including pattern recognition, data mining, machine learning, image analysis, and bioinformatics, data clustering is a common analytical…”
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Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach by Moghaddasi, Komeil, Rajabi, Shakiba, Gharehchopogh, Farhad Soleimanian

“…The Internet of Vehicles (IoV) represents a paradigm shift in vehicular communication, aiming to enhance traffic efficiency, safety, and the driving experience…”
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An Energy-Efficient Data Offloading Strategy for 5G-Enabled Vehicular Edge Computing Networks Using Double Deep Q-Network by Moghaddasi, Komeil, Rajabi, Shakiba, Soleimanian Gharehchopogh, Farhad, Hosseinzadeh, Mehdi

“…In the era of fifth-generation (5G)-enabled vehicular edge computing (VEC), efficient data offloading strategies are essential. The complexities inherent in…”
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A metaheuristic approach based on coronavirus herd immunity optimiser for breast cancer diagnosis by Hosseinalipour, Ali, Ghanbarzadeh, Reza, Arasteh, Bahman, Soleimanian Gharehchopogh, Farhad, Mirjalili, Seyedali

“…As one of the important concepts in epidemiology, herd immunity was recommended to control the COVID-19 pandemic. Inspired by this technique, the Coronavirus…”
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Clustering‐based routing protocol using gray wolf optimization and technique for order of preference by similarity to ideal solution algorithms in the vehicular ad hoc networks by Kheradmand, Behbod, Ghaffari, Ali, Soleimanian Gharehchopogh, Farhad, Masdari, Mohammad

“…Summary In a vehicular ad‐hoc network (VANET), each vehicle is equipped with an on‐board unit to communicate vehicle to vehicle or vehicle to fixed…”
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Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data by Piri, Jayashree, Mohapatra, Puspanjali, Acharya, Biswaranjan, Gharehchopogh, Farhad Soleimanian, Gerogiannis, Vassilis C., Kanavos, Andreas, Manika, Stella

“…Feature selection (FS) is commonly thought of as a pre-processing strategy for determining the best subset of characteristics from a given collection of…”
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A fixed structure learning automata‐based optimization algorithm for structure learning of Bayesian networks by Asghari, Kayvan, Masdari, Mohammad, Soleimanian Gharehchopogh, Farhad, Saneifard, Rahim

“…One of the useful knowledge representation tools, which can describe the joint probability distribution between some random variables with a graphical model…”
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Puma optimizer (PO): a novel metaheuristic optimization algorithm and its application in machine learning by Abdollahzadeh, Benyamin, Khodadadi, Nima, Barshandeh, Saeid, Trojovský, Pavel, Gharehchopogh, Farhad Soleimanian, El-kenawy, El-Sayed M., Abualigah, Laith, Mirjalili, Seyedali

“…Optimization techniques, particularly meta-heuristic algorithms, are highly effective in optimizing and enhancing efficiency across diverse models and systems,…”
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