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Application of image processing in adaptation of yeast to environmental conditions, optimized by autogegulatory molecules and PSO
Application of image processing in adaptation of yeast to environmental conditions, optimized

Intelligent Particle Swarm Optimization Using Q-LearningIntelligent Particle Swarm Optimization Using Q-Learning

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

Study of the Practical Convergence of Evolutionary Algorithms for the Optimal Program Control of a Wheeled Robot) algorithm, the particle swarm optimization (PSO), the bat-inspired algorithm (BIA), the bees algorithm (BA

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

Comparative Analysis of Evolutionary Algorithms for the Problem of Parametric Optimization of PID Controllers evolution method, variational genetic algorithm, particle swarm optimization algorithm, bat-inspired method

Hybrid evolutionary algorithm for synthesized optimal control problem for group of interacting robots: particle swarm optimization and gray wolf optimizer. When solving the problem, we use the approach

Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization AlgorithmsThe article considers the problem of planning the optimal trajectory of a delta robot

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

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