Peregrine preying pattern based differential evolution for robot path planning

Abstract

Differential evolution (DE) is a simple and robust evolutionary algorithm. DE has three simple steps and it is easy to implement. It is a popular meta-heuristics that efficiently solved various complex optimization problems. This paper addressed the robot path planning problem. The robot path planning problem is considered as one of the complex optimization problem. Here a new variant of DE with new scaling factor inspired by peregrine preying pattern. The performance of anticipated algorithm is equated with basic DE and other competitive algorithms. Results proves that new variant perform well for considered problem.

Subject Classification:

• 68T20
• 93C85

Keywords:

• Evolutionary intelligence
• Optimization
• Nature inspired algorithm
• Path planning
• Swarm intelligence
• Robotics