Bayesian optimization in high-dimensional spaces: A brief survey

M Malu, G Dasarathy, A Spanias - 2021 12th International …, 2021 - ieeexplore.ieee.org
Bayesian optimization (BO) has been widely applied to several modern science and
engineering applications such as machine learning, neural networks, robotics, aerospace …

A multiagent deep reinforcement learning approach for path planning in autonomous surface vehicles: The Ypacaraí lake patrolling case

SY Luis, DG Reina, SLT Marín - IEEE Access, 2021 - ieeexplore.ieee.org
Autonomous surfaces vehicles (ASVs) excel at monitoring and measuring aquatic nutrients
due to their autonomy, mobility, and relatively low cost. When planning paths for such …

AquaFeL-PSO: An informative path planning for water resources monitoring using autonomous surface vehicles based on multi-modal PSO and federated learning

MJ Ten Kathen, F Peralta, P Johnson, IJ Flores… - Ocean …, 2024 - Elsevier
The preservation, monitoring, and control of large water resources has been a major
challenge in recent decades. To ensure the quality of water resources, it is necessary to …

[HTML][HTML] An evolutionary multi-objective path planning of a fleet of ASVs for patrolling water resources

SY Luis, F Peralta, AT Córdoba, ÁR del Nozal… - … Applications of Artificial …, 2022 - Elsevier
The rapid increase of human activities with direct influence on the environment has
motivated the global awareness of the need to efficiently monitor the natural resources …

[HTML][HTML] Multi-objective optimization of environmental tax for mitigating air pollution and greenhouse gas

S Li, N Jia, Z Chen, H Du, Z Zhang, B Bian - Journal of Management …, 2022 - Elsevier
Government macro-control through various policies is an important way to mitigate air
pollution and greenhouse gases. Therefore, environmental tax is used worldwide as an …

An informative path planner for a swarm of asvs based on an enhanced pso with gaussian surrogate model components intended for water monitoring applications

MJT Kathen, IJ Flores, DG Reina - Electronics, 2021 - mdpi.com
Controlling the water quality of water supplies has always been a critical challenge, and
water resource monitoring has become a need in recent years. Manual monitoring is not …

SnAKe: Bayesian optimization with pathwise exploration

JP Folch, S Zhang, R Lee, B Shafei… - Advances in …, 2022 - proceedings.neurips.cc
Abstract" Bayesian Optimization is a very effective tool for optimizing expensive black-box
functions. Inspired by applications developing and characterizing reaction chemistry using …

Water quality online modeling using multi-objective and multi-agent Bayesian Optimization with region partitioning

F Peralta, DG Reina, S Toral - Mechatronics, 2023 - Elsevier
Monitoring water resources and their quality is an activity that is gaining more importance
through the years. Efficient and intelligent monitoring systems must be developed by taking …

Aquahet-pso: An informative path planner for a fleet of autonomous surface vehicles with heterogeneous sensing capabilities based on multi-objective pso

MJ Ten Kathen, FP Samaniego, IJ Flores… - IEEE Access, 2023 - ieeexplore.ieee.org
The importance of monitoring and evaluating the quality of water resources has significantly
grown over time. To achieve this effectively, an option is to employ an intelligent monitoring …

A dimensional comparison between evolutionary algorithm and deep reinforcement learning methodologies for autonomous surface vehicles with water quality …

S Yanes Luis, D Gutiérrez-Reina, S Toral Marín - Sensors, 2021 - mdpi.com
The monitoring of water resources using Autonomous Surface Vehicles with water-quality
sensors has been a recent approach due to the advances in unmanned transportation …