A Comparison of Evolutionary Algorithms and Gradient-based Methods for the Optimal Control Problem control problem is carried out. The problem is solved separately by
Particle swarm
optimization, Grey wolf
Synthesized Optimal Control by Group Interaction of Quadcopters. For searching positions of the points the evolutionary algorithm
particle swarm
optimization is used. © 2020
A solution of synthesized optimal control problem for interaction of robots by evolutionary computations problem a
particle swarm
optimization was applied. In experiment the control object is a pair of robots
Optimal power consumption motion control of a fish-like vehicle in a vortices vector fiele particle. Given the complexity of the general problem, we consider two simplifying assumptions: (i) only