Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles

H Heng, MHM Ghazali, W Rahiman - Ocean Engineering, 2024 - Elsevier
USVs have emerged as effective instruments in a wide range of maritime applications,
including environmental monitoring and search-and-rescue missions. The surge in their …

AFOX: A new adaptive nature-inspired optimization algorithm

H ALRahhal, R Jamous - Artificial Intelligence Review, 2023 - Springer
Optimization is a common phenomenon that we encounter in our daily routine, which
involves selecting the best option from a set of alternatives. A lot of algorithms have been …

Super eagle optimization algorithm based three-dimensional ball security corridor planning method for fixed-wing UAVs

G Hu, B Du, K Chen, G Wei - Advanced Engineering Informatics, 2024 - Elsevier
In modern warfare, unmanned aerial vehicles (UAVs) have become a vital military force.
Planning feasible paths for UAVs has become an essential part of forming autonomous …

MAHACO: Multi-algorithm hybrid ant colony optimizer for 3D path planning of a group of UAVs

G Hu, F Huang, B Shu, G Wei - Information Sciences, 2025 - Elsevier
Path planning is a critical part of unmanned aerial vehicle (UAV) achieving mission
objectives, and the complexity of this problem is further increased when used for a group of …

Minimum time search using ant colony optimization for multiple fixed-wing UAVs in dynamic environments

A Motamedi, M Mortazavi, M Sabzehparvar… - Applied Soft …, 2024 - Elsevier
The use of multiple fixed-wing unmanned aerial vehicles in search and rescue missions
after natural disasters has become of great interest as they can search large areas and find …

A multi-agent reinforcement learning algorithm with the action preference selection strategy for massive target cooperative search mission planning

X Wang, X Fang - Expert Systems with Applications, 2023 - Elsevier
Target search is widely applied in military reconnaissance, geological exploration and
personnel search and rescue. Most target search algorithms perform well in single target …

Convex combination multiple populations competitive swarm optimization for moving target search using UAVs

T Ma, Y Wang, X Li - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) searching for a moving target is a complex search
optimization problem that aims to find a path with maximum probability of observing the …

Survey on Lagrangian relaxation for MILP: importance, challenges, historical review, recent advancements, and opportunities

MA Bragin - Annals of Operations Research, 2024 - Springer
Operations in areas of importance to society are frequently modeled as mixed-integer linear
programming (MILP) problems. While MILP problems suffer from combinatorial complexity …

A Systematic Literature Review on Transit-Based Evacuation Planning in Emergency Logistics Management: Optimisation and Modelling Approaches

SM Khalili, M Mojtahedi, C Steinmetz-Weiss… - Buildings, 2024 - mdpi.com
Increasing disasters in recent years have necessitated the development of emergency
logistics plans. Evacuation planning plays an important role in emergency logistics …

[HTML][HTML] A multi-strategy improvement Secretary Bird Optimization Algorithm for engineering optimization problems

S Qin, J Liu, X Bai, G Hu - Biomimetics, 2024 - mdpi.com
Based on a meta-heuristic secretary bird optimization algorithm (SBOA), this paper develops
a multi-strategy improvement secretary bird optimization algorithm (MISBOA) to further …