Salp swarm algorithm: a comprehensive survey

L Abualigah, M Shehab, M Alshinwan… - Neural Computing and …, 2020 - Springer
This paper completely introduces an exhaustive and a comprehensive review of the so-
called salp swarm algorithm (SSA) and discussions its main characteristics. SSA is one of …

Multi-verse optimizer: theory, literature review, and application in data clustering

I Aljarah, M Mafarja, AA Heidari, H Faris… - … , literature reviews and …, 2020 - Springer
Multi-verse optimizer (MVO) is considered one of the recent metaheuristics. MVO algorithm
is inspired from the theory of multi-verse in astrophysics. This chapter discusses the …

Dynamic salp swarm algorithm for feature selection

M Tubishat, S Ja'afar, M Alswaitti, S Mirjalili… - Expert Systems with …, 2021 - Elsevier
Recently, many optimization algorithms have been applied for Feature selection (FS)
problems and show a clear outperformance in comparison with traditional FS methods …

[HTML][HTML] Optimal sizing of smart hybrid renewable energy system using different optimization algorithms

FS Mahmoud, AAZ Diab, ZM Ali, AHM El-Sayed… - Energy Reports, 2022 - Elsevier
Hybrid renewable energy (HRE) sources have become a popular alternative in isolated and
rural locations; because of the increased prices of fossil fuels and their CO2 emissions. This …

Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm

S Kassaymeh, M Al-Laham, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …

[HTML][HTML] Self-adaptive salp swarm algorithm for engineering optimization problems

R Salgotra, U Singh, S Singh, G Singh… - Applied Mathematical …, 2021 - Elsevier
Salp swarm algorithm is a recent introduction in the field of swarm intelligent algorithms and
has proved its worth over various research domains. Though it is a competitive algorithm but …

Breast cancer segmentation from thermal images based on chaotic salp swarm algorithm

A Ibrahim, S Mohammed, HA Ali, SE Hussein - IEEE Access, 2020 - ieeexplore.ieee.org
Breast cancer is one of the most common types of cancer and early detection can
significantly decrease the associated mortality rate. Different kinds of segmentation methods …

[HTML][HTML] Heart disease prediction by using novel optimization algorithm: A supervised learning prospective

SP Patro, GS Nayak, N Padhy - Informatics in Medicine Unlocked, 2021 - Elsevier
Data analysis in medicine is becoming more and more frequent to clarify diagnoses, refine
research methods, and plan appropriate equipment supplies according to the importance of …

Enhanced salp swarm algorithm based on firefly algorithm for unrelated parallel machine scheduling with setup times

AA Ewees, MAA Al-qaness, M Abd Elaziz - Applied Mathematical Modelling, 2021 - Elsevier
Unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup
times has received more attention due to its various industrial and scheduling applications …

Improved salp swarm algorithm with mutation schemes for solving global optimization and engineering problems

B Nautiyal, R Prakash, V Vimal, G Liang… - Engineering with …, 2022 - Springer
Abstract Salp Swarm Algorithm (SSA) is a recent metaheuristic algorithm developed from the
inspiration of salps' swarming behavior and characterized by a simple search mechanism …