… path planning. In this paper, we use the genetic algorithm (GA) and the particle swarm …
The characteristics of the optimal path are represented in the form of a multi-objective cost …

… develop the path planning algorithm using the improved Dijkstra algorithm and the particle
swarm … In this paper, we developed the path planning algorithm using the improved Dijkstra …

… This paper proposes a two-step path planning strategy. After modeling the robot’s working
space, the path-planning problem translates into a shortest path-finding problem in the …

… a multi-objective path planning algorithm based on particle swarm optimization for … path.
Considering two performance merits: the risk degree and the distance of path, the path planning …

… An improved particle swarm optimization (PSO) … path planning for Øxed-wing UAVs in this
paper. In order to improve the convergence speed and the search ability of the particles, the …

… path planning is equivalent to optimization of parameters of splines. An evolutionary technique
called Particle Swarm … compared to two classical mobile robot path planning algorithms. …

… This paper concentrates on path planning of mobile robot in a static environment, where a
new approach is proposed based on Particle Swarm Optimization (PSO). The PSO algorithm …

… Ahead of discussing path planning for a mobile robot, we propose a modified particle swarm
… For a swarm including M particles, the position of a particle i is defined as Xi = [xi1 xi2 ··· xiD]…

… vector-based particle swarm optimization (SPSO) to deal with the problem of path planning
for … A cost function is first formulated to convert the path planning into an optimization problem …

… powerful strategy to diversify the swarm and improve the performance of PSO. In this paper,
in order to enrich the diversity of particle initialization in UAV path planning, the Logistic map, …