A comprehensive survey of sine cosine algorithm: variants and applications
AB Gabis, Y Meraihi, S Mirjalili… - Artificial Intelligence …, 2021 - Springer
Abstract Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in …
Advances in spotted hyena optimizer: a comprehensive survey
S Ghafori, FS Gharehchopogh - Archives of computational methods in …, 2022 - Springer
Metaheuristic algorithms are widely used in various fields of optimization engineering.
These algorithms have become popular because of their ability to explore and exploit …
These algorithms have become popular because of their ability to explore and exploit …
A new optimization method based on COOT bird natural life model
Recently, many intelligent algorithms have been proposed to find the best solution for
complex engineering problems. These algorithms can search volatile and multi-dimensional …
complex engineering problems. These algorithms can search volatile and multi-dimensional …
A novel improved whale optimization algorithm for optimization problems with multi-strategy and hybrid algorithm
H Deng, L Liu, J Fang, B Qu, Q Huang - Mathematics and Computers in …, 2023 - Elsevier
Whale optimization algorithm (WOA), as an advanced optimization algorithm with simple
structure, has been favored by various fields. However, there are some disadvantages of …
structure, has been favored by various fields. However, there are some disadvantages of …
A novel version of slime mould algorithm for global optimization and real world engineering problems: Enhanced slime mould algorithm
The slime mould algorithm is a stochastic optimization algorithm based on the oscillation
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
A Grunwald–Letnikov based Manta ray foraging optimizer for global optimization and image segmentation
M Abd Elaziz, D Yousri, MAA Al-qaness… - … Applications of Artificial …, 2021 - Elsevier
This paper presents a modified version of Manta ray foraging optimizer (MRFO) algorithm to
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
deal with global optimization and multilevel image segmentation problems. MRFO is a meta …
Quantum marine predators algorithm for addressing multilevel image segmentation
This paper proposes a modified marine predators algorithm based on quantum theory to
handle the multilevel image segmentation problem. The main aims of using quantum theory …
handle the multilevel image segmentation problem. The main aims of using quantum theory …
Discrete fractional-order Caputo method to overcome trapping in local optima: Manta Ray Foraging Optimizer as a case study
D Yousri, AM AbdelAty, MAA Al-qaness… - Expert Systems with …, 2022 - Elsevier
Enhancing the exploration and exploitation phases of the metaheuristic (MH) optimization
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
algorithms is the key to avoiding local optima. The Manta ray foraging optimizer is a recently …
HMPA: an innovative hybrid multi-population algorithm based on artificial ecosystem-based and Harris Hawks optimization algorithms for engineering problems
S Barshandeh, F Piri, SR Sangani - Engineering with computers, 2022 - Springer
Optimization algorithms have made considerable advancements in solving complex
problems with the ability to be applied to innumerable real-world problems. Nevertheless …
problems with the ability to be applied to innumerable real-world problems. Nevertheless …
Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding
Humans take immense pride in their ability to be unpredictably intelligent and despite huge
advances in science over the past century; our understanding about human brain is still far …
advances in science over the past century; our understanding about human brain is still far …