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Genetic programming elements in fuzzy logic problems genetic programming elements. Fuzzy regulator is included in direct control circuit of nonlinear dynamic

Multipopulation Genetic Algorithm for Determining Crystal Structures Using Powder Diffraction Data by the multipopulation genetic algorithm is proposed. The advantage of using coevolution with exchange by better

Numerical and experimental investigation of the effect of the optimal usage of pump as turbine instead of pressure-reducing valves on leakage reduction by genetic algorithm GA (genetic algorithm) to minimize the leakage and make uniform pressure. Results show

Automatic routing submarine robots using fuzzy logic with trial and error and based on their experience or some experiments. This paper introduces a Genetic

Machine Learning and Genetic AlgorithmsMachine Learning and Genetic Algorithms

Genetic algorithms and their applications in Computer ScienceGenetic algorithms and their applications in Computer Science

GENETIC PROGRAMMING METHOD FOR CONTROL SYSTEMS IDENTIFICATION and application are described. The basic solution approach is used for the genetic algorithm construction

Method of Binary Analytic Programming to Look for Optimal Mathematical Expression algorithm, there is a problem of crossover. Genetic programming performs a crossover only in certain points

Statistical Search engine optimization of relevant information from a documentary database. As Genetic Algorithms (GA) are robust and efficient

Автоматизированная система тестирования программных средств на основе модифицированных генетических алгоритмов of software in compiled form. An approach is proposed to create a test database using genetic

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