A survey: Ant Colony Optimization based recent research and implementation on several engineering domain

BC Mohan, R Baskaran - Expert Systems with Applications, 2012 - Elsevier
Ant Colony Optimization (ACO) is a Swarm Intelligence technique which inspired from the
foraging behaviour of real ant colonies. The ants deposit pheromone on the ground in order …

Bioinspired intelligent algorithm and its applications for mobile robot control: a survey

J Ni, L Wu, X Fan, SX Yang - Computational intelligence and …, 2016 - Wiley Online Library
Bioinspired intelligent algorithm (BIA) is a kind of intelligent computing method, which is with
a more lifelike biological working mechanism than other types. BIAs have made significant …

New ant colony optimization algorithm for the traveling salesman problem

W Gao - International Journal of Computational Intelligence …, 2020 - Springer
As one suitable optimization method implementing computational intelligence, ant colony
optimization (ACO) can be used to solve the traveling salesman problem (TSP). However …

A hybrid model for load balancing in cloud using file type formatting

M Junaid, A Sohail, A Ahmed, A Baz, IA Khan… - IEEE …, 2020 - ieeexplore.ieee.org
Maintaining accuracy in load balancing using metaheuristics is a difficult task even with the
help of recent hybrid approaches. In the existing literature, various optimized metaheuristic …

An implementation of tree-seed algorithm (TSA) for constrained optimization

MS Kıran - Intelligent and Evolutionary Systems: The 19th Asia …, 2016 - Springer
One of the recent proposed population-based heuristic search algorithms is tree-seed
optimization algorithm, TSA for short. TSA simulates the growing over on a land of trees and …

Hybrid soft computing systems for electromyographic signals analysis: a review

HB Xie, T Guo, S Bai, S Dokos - Biomedical engineering online, 2014 - Springer
Electromyographic (EMG) is a bio-signal collected on human skeletal muscle. Analysis of
EMG signals has been widely used to detect human movement intent, control various …

Learning path planning algorithm based on career goals and artificial intelligence

Z Shi, Z Wu, Z Zhang, Y Chen, X Liu - International Journal of …, 2022 - learntechlib.org
With the development of the Internet, various forms of learning resources continue to flood
the public, especially the promotion of video learning plat-forms. More and more people use …

A Multi-strategy Improved Grasshopper Optimization Algorithm for Solving Global Optimization and Engineering Problems

W Liu, W Yan, T Li, G Han, T Ren - International Journal of Computational …, 2024 - Springer
This paper presents a multi-strategy improved grasshopper optimization algorithm
(MSIGOA), which aims to address the shortcomings of the grasshopper optimization …

Boosting Farm Efficiency: An Ant Colony Optimization Approach to Smart Agriculture

WK Lai, LC Tay, LL Lim, WC Tan… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
The production of palm oil on a commercial scale is labour intensive with many of its
processes handled by humans. In some countries, there can be as many as 500,000 …

Machine learning based file type classifier designing in IoT cloud

P Sharma, M Kumar, A Sharma - Cluster Computing, 2024 - Springer
With the increase interest and number of the users in Social media, the file handling has
also increased. To manage the load, cloud servers are being used by the service providers …