Numerous path-planning studies have been conducted in past decades due to the
challenges of obtaining optimal solutions. This paper reviews multi-robot path-planning …

This study aims to shed light on a new understanding of global machine-learning (ML)
prediction models for wastewater treatment plants (WWTPs). The paper evaluates the …

Cooperative hunting is a typical task that reflects the intelligence level of a swarm. For the
complex underwater weak information environment with obstacles, a problem description of …

Developing efficient path-planning algorithms is an essential topic in modern robotics and
control theory. Autonomous rovers and wheeled and tracked robots require path generators …

This article presents a constraint modeling approach to global coverage-path planning for
linear-infrastructure inspection using multiple autonomous UAVs. The problem is …

In this paper, dual RRT optimization is proposed to solve the formation shape generation
problem for a large number of MUVs. Since large numbers of MUVs are prone to collision …

This paper presents a new initialization method that combines adaptive visibility graphs and
the A* algorithm to improve the exploration, accuracy, and computing efficiency of hybrid …

At present, due to the lack of core technology and technological innovation ability, the
design technology of traditional shipyards in China is backward. The operation mode of front …

Abstract Deep Reinforcement Learning algorithms have gained attention lately due to their
ability to solve complex decision problems with a model-free and zero-derivative approach …

The multi-objective evolutionary algorithm (MOEA) has been widely applied to solve various
optimization problems. Existing search models based on dominance and decomposition are …