Trajectory Optimization of High-Speed Robotic Positioning with Suppressed Motion Jerk via Improved Chicken Swarm Algorithm

An Improved Probability Particle Swarm Optimization Algorithm

This paper deals with the problem of unconstrained optimization. An improved probability particle swarm optimization algorithm is proposed. Firstly, two normal distributions are used to describe the distributions of particle positions, respectively. One is the normal distribution with the global best position as mean value and the difference between the current fitness and the global best fitne...

Improved Swarm Bee Algorithm for Global Optimization

Artificial Bee Colony (ABC) algorithm simulates the foraging behavior of honey bee colonies. ABC is an optimization technique, which is used in finding the best solution from all feasible solutions. However, there is still an insufficiency in ABC regarding improvement in exploitation and convergence speed. In order to improve the performance of ABC we embedded PSO into ABC. As PSO has memory, k...

An Improved Particle Swarm Optimization for Indoor Positioning

Optimization of Robotic Arm Trajectory Using Genetic Algorithm

The paper presents a genetic algorithm based design approach of the robotic arm trajectory control with the optimization of various criterions. The described methodology is based on the inverse kinematics problem and it additionally considers the minimization of the operating-time, and/or the minimization of energy consumption as well as the minimization of the sum of all rotation changes durin...

Optimization of Swarm Robotic Systems via Macroscopic Models

In this paper, we propose a time-discrete, macroscopic model able to capture the dynamics of a robotic swarm system engaged in a collaborative manipulation task. The case study is concerned with pulling sticks out of the ground, an action that requires the collaboration of two robots to be successful. We will show that the model can deliver not only quantitatively correct predictions but also b...