In this article, an automatic vehicle parallel parking algorithm, consisting of path planning, controller design, and state estimation is developed. The planned using clothoid sequences a straight line, which avoids stopping the car to reorient wheels. control inputs, including speed steering angle, are function traveled distance. This method enables park from different initial poses, achieving...

Abstract Multi-objective particle swarm optimization algorithms encounter significant challenges when tackling many-objective problems. This is mainly because of the imbalance between convergence and diversity that occurs increasing selection pressure. In this paper, a novel adaptive MOPSO (ANMPSO) algorithm based on R2 contribution method developed to improve performance MOPSO. First, new glob...

Scheduling tasks is one of the core steps to effectively exploit the capabilities of distributed or parallel computing systems. In general, scheduling is an NP-hard problem. Most existing approaches for scheduling deal with a single objective only. This paper presents a multi-objective scheduling algorithm based on particle swarm optimization (PSO). In this paper a non-dominated sorting particl...