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Genetic algorithm-based personalized models of human cardiac action potential© 2020 Smirnov et al. We present a novel modification of genetic algorithm (GA) which determines
Greedy heuristic algorithm for solving series of EEEcomponents classification problems of the genetic algorithm with the greedy agglomerative heuristic which allows solving series of problems
Resource allocation scheme based on gray wolf optimization algorithm in mobile edge computing, reduce the energy
consumption of server operation, and is superior to Random strategy, Genetic algorithm
The Effectiveness of the Artificial Intelligence Development as a Factor in the Nonlinear Development of Social SystemsGenetic algorithms
ARTIFICIAL INTELLIGENCE IN THE MANAGEMENT OF ENERGY SYSTEMSgenetic algorithms
A robust fuzzy optimisation for a multi-objective pharmaceutical supply chain network design problem considering reliability and delivery time genetic algorithm (NSGA-II) and multi-objective particle swarm optimisation (MOPSO). The results confirm
Large discrete systems evolutionary synthesis proceduregenetic algorithm
GRAMMATICAL EVOLUTION AND NETWORK OPERATOR METHODS FOR SYNTHESIS OF THE CONTROL SYSTEM FOR A DYNAMIC OBJECT is represented as a graph. We chose the steady-state genetic algorithm as a search engine for both methods
Исследование эффективности генетического алгоритма для тематического документального поиска. This article presents results of experimental studies the effectiveness of the genetic algorithm
Intelligent Environment of System-Situation Management of Complex Socio-Technical System Using Multilevel Semantic Nets of property indicator and the genetic algorithms with the
dynamic choice of genetic operators in group
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