Enhancing Whale Optimization Algorithm with Differential Evolution and Lévy Flight for Robot Path Planning DOI Open Access

Rongrong TANG,

Xuebang TANG,

Hongwang ZHAO

et al.

International Journal of Advanced Computer Science and Applications, Journal Year: 2024, Volume and Issue: 15(5)

Published: Jan. 1, 2024

Path planning is a prominent and essential part of mobile robot navigation in robotics. It allows robots to determine the optimal path from given beginning point desired end goal. Additionally, it enables navigate around obstacles, recognize secure pathways, select route follow, considering multiple aspects. The Whale Optimization Algorithm (WOA) frequently adopted approach paths. However, conventional WOA suffers drawbacks such as sluggish convergence rate, inefficiency, local optimization traps. This study presents novel methodology integrating with Lévy flight Differential Evolution (DE) plan As evolves, Levy promotes worldwide search capabilities. On other hand, DE enhances WOA's ability perform searches exploitation while also maintaining variety solutions avoid getting stuck optima. simulation results demonstrate that proposed offers greater efficiency enhanced quality.

Language: Английский

Regularization in machine learning models for MVT Pb-Zn prospectivity mapping: applying lasso and elastic-net algorithms DOI

Mahsa Hajihosseinlou,

Abbas Maghsoudi, Reza Ghezelbash

et al.

Earth Science Informatics, Journal Year: 2024, Volume and Issue: 17(5), P. 4859 - 4873

Published: Aug. 5, 2024

Language: Английский

Citations

16

Mineral Prospectivity Mapping Based on a Novel Self-Ensembling Graph Convolutional Network DOI

Yonghang Lou,

Yue Liu

Mathematical Geosciences, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

1

Density based spatial clustering of applications with noise and fuzzy C-means algorithms for unsupervised mineral prospectivity mapping DOI
Reza Ghezelbash,

Mehrdad Daviran,

Abbas Maghsoudi

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(2)

Published: Jan. 30, 2025

Language: Английский

Citations

1

A hybrid framework for detection of multivariate porphyry Cu signatures and anomaly enhancement: Incorporation of SFA, GMPI, and Grey Wolf Optimization DOI

M. Saremi,

Abbas Maghsoudi,

Mahsa Hajihosseinlou

et al.

Geochemistry, Journal Year: 2024, Volume and Issue: unknown, P. 126207 - 126207

Published: Oct. 1, 2024

Language: Английский

Citations

4

Uncertainty quantification of geochemical data imputation using Monte Carlo dropout DOI Creative Commons
Vladimir Puzyrev, Paul Duuring

Journal of Geochemical Exploration, Journal Year: 2025, Volume and Issue: unknown, P. 107695 - 107695

Published: Feb. 1, 2025

Language: Английский

Citations

0

A new approach data processing: density-based spatial clustering of applications with noise (DBSCAN) clustering using game-theory DOI

Uranus Kazemi,

Seyfollah Soleimani

Soft Computing, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

Citations

0

Rotation-based outlier detection for geochemical anomaly identification in stream sediment multivariate data DOI Creative Commons

Shahed Shahrestani,

Ioan Sanislav,

Hosein Fereydooni

et al.

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(3)

Published: Feb. 27, 2025

Language: Английский

Citations

0

Enhancing Patient Data Clustering in Smart Healthcare: A Semi-supervised Approach for Person-Centric HealthCare Treatment and Resource Optimization DOI
Usharani Bhimavarapu, Parvathaneni Naga Srinivasu

Studies in computational intelligence, Journal Year: 2025, Volume and Issue: unknown, P. 253 - 274

Published: Jan. 1, 2025

Language: Английский

Citations

0

The integrated application of big data and geospatial analysis in maritime transportation safety management: A comprehensive review DOI
Xiao Zhou, Zhou Huang, Tian Xia

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2025, Volume and Issue: 138, P. 104444 - 104444

Published: March 3, 2025

Language: Английский

Citations

0

A semi-supervised learning framework for intelligent mineral prospectivity mapping: Incorporation of the CatBoost and Gaussian mixture model algorithms DOI

Mahsa Hajihosseinlou,

Abbas Maghsoudi, Reza Ghezelbash

et al.

Journal of Geochemical Exploration, Journal Year: 2025, Volume and Issue: unknown, P. 107755 - 107755

Published: March 1, 2025

Language: Английский

Citations

0