Mountain gazelle optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems
B Abdollahzadeh, FS Gharehchopogh… - … in Engineering Software, 2022 - Elsevier
Abstract The Mountain Gazelle Optimizer (MGO), a novel meta-heuristic algorithm inspired
by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this …
by the social life and hierarchy of wild mountain gazelles, is suggested in this paper. In this …
Advances in sparrow search algorithm: a comprehensive survey
FS Gharehchopogh, M Namazi, L Ebrahimi… - … Methods in Engineering, 2023 - Springer
Mathematical programming and meta-heuristics are two types of optimization methods. Meta-
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …
heuristic algorithms can identify optimal/near-optimal solutions by mimicking natural …
QANA: Quantum-based avian navigation optimizer algorithm
H Zamani, MH Nadimi-Shahraki… - Engineering Applications of …, 2021 - Elsevier
Differential evolution is an effective and practical approach that is widely applied for solving
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
global optimization problems. Nevertheless, its effectiveness and scalability are decreased …
Metaheuristic-based support vector regression for landslide displacement prediction: A comparative study
Recently, integrated machine learning (ML) metaheuristic algorithms, such as the artificial
bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) algorithm …
bee colony (ABC) algorithm, genetic algorithm (GA), gray wolf optimization (GWO) algorithm …
GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems
MH Nadimi-Shahraki, S Taghian, S Mirjalili… - Journal of …, 2022 - Elsevier
In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce …
B-MFO: a binary moth-flame optimization for feature selection from medical datasets
Advancements in medical technology have created numerous large datasets including
many features. Usually, all captured features are not necessary, and there are redundant …
many features. Usually, all captured features are not necessary, and there are redundant …
Cqffa: A chaotic quasi-oppositional farmland fertility algorithm for solving engineering optimization problems
FS Gharehchopogh, MH Nadimi-Shahraki… - Journal of Bionic …, 2023 - Springer
Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …
A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems
MJ Goldanloo, FS Gharehchopogh - The Journal of Supercomputing, 2022 - Springer
The metaheuristic optimization algorithms are relatively new optimization algorithms
introduced to solve optimization problems in recent years. For example, the firefly algorithm …
introduced to solve optimization problems in recent years. For example, the firefly algorithm …
Sizing optimization and design of an autonomous AC microgrid for commercial loads using Harris Hawks Optimization algorithm
In this study, the sizing optimization and design of an autonomous AC microgrid is
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …
performed using the Harris Hawks Optimization (HHO) algorithm. The objective is to …
BE-GWO: Binary extremum-based grey wolf optimizer for discrete optimization problems
M Banaie-Dezfouli, MH Nadimi-Shahraki… - Applied Soft …, 2023 - Elsevier
Since most metaheuristic algorithms for continuous search space have been developed, a
number of transfer functions have been proposed including S-shaped, V-shaped, linear, U …
number of transfer functions have been proposed including S-shaped, V-shaped, linear, U …