Работы, на которые ссылается эта работа

Работ: 74

Работа: Enhanced global optimization using quadratically interpolated hybrid pathfinder algorithm

Grey Wolf Optimizer
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Andrew Lewis
Статья2014Цитирований: 22
ABI
SCA: A Sine Cosine Algorithm for solving optimization problems
Seyedali Mirjalili
Статья2016Цитирований: 7
ABI
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Seyedali Mirjalili, Amir H. Gandomi, Seyedeh Zahra Mirjalili +4
Статья2017Цитирований: 5
ABI
Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
Seyedali Mirjalili
Статья2015Цитирований: 5
ABI
Optimal radial distribution network reconfiguration to minimize power loss by using mayfly algorithm
Mansur Khasanov, Kaigui Xie, Salah Kamel +3
СтатьяOptimal Power Flow DistributionAIP conference proceedings2023Цитирований: 4
ABI
An improved pathfinder algorithm using opposition-based learning for tasks scheduling in cloud environment
Adnane Talha, Anas Bouayad, Mohammed Ouçamah Cherkaoui Malki
Статья2022Цитирований: 4
ABI
Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power
Salvador García, Alberto Fernández, Julián Luengo +1
Статья2009Цитирований: 3
ABI
Parrot optimizer: Algorithm and applications to medical problems
Junbo Jacob Lian, Guohua Hui, Ling Ma +5
Статья2024Цитирований: 3
ABI
Metaheuristics—the metaphor exposed
Kenneth Sörensen
Статья2013Цитирований: 2
ABI
The naked mole-rat algorithm
Rohit Salgotra, Urvinder Singh
Статья2019Цитирований: 2
ABI
Comparing SSALEO as a Scalable Large Scale Global Optimization Algorithm to High-Performance Algorithms for Real-World Constrained Optimization Benchmark
Mohammed Qaraad, Souad Amjad, Nazar K. Hussein +3
Статья2022Цитирований: 2
ABI
Addressing constrained engineering problems and feature selection with a time-based leadership salp-based algorithm with competitive learning
Mohammed Qaraad, Souad Amjad, Nazar K. Hussein +1
Статья2022Цитирований: 2
ABI
A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
Joaquín Derrac, Salvador García, Daniel Molina +1
Статья2011Цитирований: 2
ABI
Artificial gorilla troops optimizer: A new nature‐inspired metaheuristic algorithm for global optimization problems
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili
Статья2021Цитирований: 2
ABI
An innovative quadratic interpolation salp swarm-based local escape operator for large-scale global optimization problems and feature selection
Mohammed Qaraad, Souad Amjad, Nazar K. Hussein +1
Статья2022Цитирований: 2
ABI
Exponential distribution optimizer (EDO): a novel math-inspired algorithm for global optimization and engineering problems
Mohamed Abdel‐Basset, Doaa El-Shahat, Mohammed Jameel +1
Статья2023Цитирований: 2
ABI
Large-Scale Competitive Learning-Based Salp Swarm for Global Optimization and Solving Constrained Mechanical and Engineering Design Problems
Mohammed Qaraad, Abdussalam Aljadania, Mostafa A. Elhosseini
Статья2023Цитирований: 2
ABI
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
Farhad Soleimanian Gharehchopogh, Turgay İbrikçі
Статья2023Цитирований: 2
ABI
African vultures optimization algorithm: A new nature-inspired metaheuristic algorithm for global optimization problems
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Seyedali Mirjalili
Статья2021Цитирований: 2
ABI
Review of Metaheuristic Optimization Algorithms for Power Systems Problems
Ahmed M. Nassef, Mohammad Ali Abdelkareem, Hussein M. Maghrabie +1
Статья2023Цитирований: 2
ABI
Mountain Gazelle Optimizer: A new Nature-inspired Metaheuristic Algorithm for Global Optimization Problems
Benyamın Abdollahzadeh, Farhad Soleimanian Gharehchopogh, Nima Khodadadi +1
Статья2022Цитирований: 2
ABI
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
Kanchan Rajwar, Kusum Deep, Swagatam Das
Статья2023Цитирований: 2
ABI
Deficiencies of the whale optimization algorithm and its validation method
Lingyun Deng, Sanyang Liu
Статья2023Цитирований: 2
ABI
Без названия
ДругоеЦитирований: 1
ABI
Без названия
ДругоеЦитирований: 1
ABI