During recent years, advances in drone technologies have made them applicable in various
fields of industry, and their popularity continues to grow. In this paper, the academic …

Memetic computing is a subject in computer science which considers complex structures
such as the combination of simple agents and memes, whose evolutionary interactions lead …

To solve the problems of convergence speed in the ant colony algorithm, an improved ant
colony optimization algorithm is proposed for path planning of mobile robots in the …

Path planning for multiple Unmanned Ground Vehicles (UGVs) is a critical problem for UGV
autonomy and is increasingly attracting attention due to its wide applications. This paper …

An autonomous underwater vehicle (AUV) is an economical and safe tool that is well-suited
for search, investigation, identification, and salvage operations on the sea floor. Path …

本文提出了基于改进蚁群算法的移动机器人动态路径规划方法. 首先针对蚁群算法收敛速度慢,
容易陷入局部最优的缺点, 提出了根据目标点自适应调整启发函数, 提高算法的收敛速度; …

Taking a lead from the multi-faceted definitions and roles of the term" meme" in memetics, a
plethora of potentially rich memetic computing methodologies, frameworks and operational …

Path planning is one of the most important problems in the development of autonomous
underwater vehicles (AUVs). In some common AUV missions, eg, wreckage search for …

Effective planning and scheduling of relief operations play a key role in saving lives and
reducing damage in disasters. These emergency operations involve a variety of challenging …

This paper presents a novel two-stage hybrid swarm intelligence optimization algorithm
called GA–PSO–ACO algorithm that combines the evolution ideas of the genetic algorithms …