In expert systems, complex optimization problems are usually nonlinear, nonconvex,
multimodal and discontinuous. As an efficient and simple optimization algorithm, particle …

The smooth path planning for mobile robots is attracted particular research attention. In this
paper, an enhanced slime mould algorithm called HG-SMA is proposed to solve a new …

The path planning of autonomous land vehicle has become a research hotspot in recent
years. In this article, we present a novel path planning algorithm for an autonomous land …

Particle swarm optimization (PSO) is a popular heuristic method, which is capable of
effectively dealing with various optimization problems. A detailed overview of the original …

Salp swarm algorithm (SSA) is one of the recent meta-heuristic algorithms that imitate the
behaviors of salps during the navigating and foraging in oceans to perform global …

There are many studies on the sustainability of renewable energy, mainly focusing on
energy supply, economic, social, environmental and technological aspects, but there are few …

Abstract Underwater Robots such as Autonomous Underwater Vehicles (AUVs) and
Remotely Operated Vehicles (ROVs) has played an important role in many tasks, such as …

Differential evolution (DE) is a popular optimization algorithm with easy implementation and
fast convergence rate. For evolutionary algorithms such as DE, the initialization process of …

针对粒子群算法应用于移动机器人路径规划时存在的易早熟, 易陷入局部最优等问题,
提出一种基于区域搜索的自适应粒子群(region search-adaptive particle swarm optimization …

For safe path planning of unmanned aerial vehicles (UAVs) in a three-dimensional (3D)
environment with multiple threats, first, a cost function is introduced according to the terrain …