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The Comparison of Genetic Programming and Variational Genetic Programming for a Control Synthesis Problem on the Model "predator-victim" programming and a variational method of genetic programming. The comparison is made on the basis
Symbolic regression methods for control system synthesis methods: network operator method, genetic programming and analytical programming. We developed variational
CONTROL SYSTEM PROBLEM SOLUTION BY VARIATIONAL GENETIC PROGRAMMING METHOD method of variational genetic programming. A description of the method of variational genetic programming
Binary variational genetic programming for the problem of synthesis of control system variational genetic programming. We use it for synthesis of optimal control. This method performs better than
Optimal Trajectories Synthesis of a Mobile Robots Group Using Cartesian Genetic ProgrammingThe paper is devoted to application of Cartesian Genetic Programming (CGP) for generating optimal
VARIATION OF GENETIC PROGRAMMING TO SYNTHESIZE MOTION CONTROL OF MOBILE ROBOT FOR SPATIAL TRAJECTORIES of the movement were considered. The control system found by means of the variational genetic programming for one
Variational Genetic Programming for Optimal Control System Synthesis of Mobile RobotsVariational Genetic Programming for Optimal Control System Synthesis of Mobile Robots
Numerical Method Of Variation Analytical Programming For Structural And Parametrical Synthesis Of A Control System of mathematical expression, small variations of structure and a variation genetic algorithm for search
Variational Genetic Programming for Optimal Control System Synthesis of Mobile Robots is synthesized using variational genetic programming for the unmanned mobile robot that has to move to some
GENETIC PROGRAMMING METHOD FOR CONTROL SYSTEMS IDENTIFICATION of genetic programming with the network operator is used. Network operator properties, rules of its creation
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