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Variational Genetic Algorithm for NP-hard Scheduling Problem Solution
Diveev A.I., Bobr O.V.
The article is devoted to the study of metaheuristic method for scheduling problems solution
Small Variations of Basic Solution Method for Non-numerical Optimization
Diveev A.I.
of small variations for basic solution was presented. Examples of solutions of travelling salesman problem
OPTIMIZATION OF THE SOLUTION OF THE PROBLEM OF SCHEDULING THEORY BASED ON THE EVOLUTIONARY-GENETIC ALGORITHM
Diveev A.I., Bobr O.V.
algorithm with small variations of basic solution finds the optimal solution. Presented genetic algorithm
Symbolic regression methods for control system synthesis
Diveev A., Kazaryan D., Sofronova E.
the methods perform search over the set of the small variations of the given basic solution. Search efficiency
Complete Binary Variational Analytic Programming for Synthesis of Control at Dynamic Constraints
Diveev A., Shmalko E.
crossover, and it uses the principle of small variations of the basic solution to increase the efficiency
Variational Genetic Programming for Optimal Control System Synthesis of Mobile Robots
Diveev A.I., Ibadulla S.I., Konyrbaev N.B., Shmalko E.Y.
is searched over the set of small variations of the given basic solution. Such approach allows to generate
Numerical Method Of Variation Analytical Programming For Structural And Parametrical Synthesis Of A Control System
Diveev A.I., Konyrbaev N.B.
of small variations of the basic decision is presented. The description of a structure of data for coding
Quadrotor group control by variation analytical programming technique
Diveev Askhat, Konyrbaev Nurbek
. This genetic algorithm employs the principle small variations of basic solution. All genetic operations perform
Variational Analytic Programming for Synthesis of Optimal Control for Flying Robot
Diveev A.I., Ibadulla S.I., Konyrbaev N.B., Shmalko E.Y.
function over the set of the small variations of the given basic solution. Search efficiency depends
The Comparison of Genetic Programming and Variational Genetic Programming for a Control Synthesis Problem on the Model "predator-victim"
Ibadulla S.I., Shmalko E.Y., Daurenbekov K.K.
programming there was selected a trivial basic solution in the form of the sum of input variable products

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