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 …

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 …

A new optimization method based on COOT bird natural life model

I Naruei, F Keynia - Expert Systems with Applications, 2021 - Elsevier
Recently, many intelligent algorithms have been proposed to find the best solution for
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 …

A novel version of slime mould algorithm for global optimization and real world engineering problems: Enhanced slime mould algorithm

BN Örnek, SB Aydemir, T Düzenli, B Özak - Mathematics and Computers in …, 2022 - Elsevier
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 …

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 …

Quantum marine predators algorithm for addressing multilevel image segmentation

M Abd Elaziz, D Mohammadi, D Oliva… - Applied Soft Computing, 2021 - Elsevier
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 …

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 …

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 …

Human-inspired optimization algorithms: Theoretical foundations, algorithms, open-research issues and application for multi-level thresholding

R Rai, A Das, S Ray, KG Dhal - Archives of Computational Methods in …, 2022 - Springer
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 …