An inclusive survey on marine predators algorithm: Variants and applications

R Rai, KG Dhal, A Das, S Ray - Archives of Computational Methods in …, 2023 - Springer
Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

Lightning search algorithm: a comprehensive survey

L Abualigah, MA Elaziz, AG Hussien, B Alsalibi… - Applied …, 2021 - Springer
The lightning search algorithm (LSA) is a novel meta-heuristic optimization method, which is
proposed in 2015 to solve constraint optimization problems. This paper presents a …

A survey of learning-based intelligent optimization algorithms

W Li, GG Wang, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …

An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem

W Deng, J Xu, H Zhao - IEEE access, 2019 - ieeexplore.ieee.org
In this paper, an improved ant colony optimization (ICMPACO) algorithm based on the multi-
population strategy, co-evolution mechanism, pheromone updating strategy, and …

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 …

Socio evolution & learning optimization algorithm: A socio-inspired optimization methodology

M Kumar, AJ Kulkarni, SC Satapathy - Future Generation Computer …, 2018 - Elsevier
The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization
Algorithm (SELO) inspired by the social learning behaviour of humans organized as families …

QoS-aware cloud service composition using eagle strategy

SK Gavvala, C Jatoth, GR Gangadharan… - Future Generation …, 2019 - Elsevier
In recent years, several cloud services have proliferated that conspicuously result in
providing similar services having same functionality by multiple service providers, but …

EJS: Multi-strategy enhanced jellyfish search algorithm for engineering applications

G Hu, J Wang, M Li, AG Hussien, M Abbas - Mathematics, 2023 - mdpi.com
The jellyfish search (JS) algorithm impersonates the foraging behavior of jellyfish in the
ocean. It is a newly developed metaheuristic algorithm that solves complex and real-world …

Social learning evolution (SLE): Computational experiment-based modeling framework of social manufacturing

X Xue, S Wang, L Zhang, Z Feng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
As a new form of manufacturing industry in the Internet era, social manufacturing has its
inherent “social-cyber” complexity: the source of manufacturing service is social, and such …

Probabilistic slope stability analysis of Heavy-haul freight corridor using a hybrid machine learning paradigm

A Bardhan, P Samui - Transportation Geotechnics, 2022 - Elsevier
With the rising freight demand, specialized heavy-haul railway corridors allow heavier trains
to transport heavy freight, improving productivity and lowering unit costs. Generally, a heavy …