генетичний алгоритм

One of modern possible problem solutions of analysis and synthesis in electromechanical systems is the recourse to a genetic algorithm as a method of artificial intelligence. The originality of the proposed approach lies in the usage of fractional order models to solve the above-mentioned problem. The quality function is proposed to be used in the developed algorithms for analysis and synthesis procedures of electromechanical systems. It is also proposed to get the desired outcome of results deviation from the set values by means of quality function control after each iteration.

Modified routing algorithms are presented based on basic meta-heuristic algorithms: ant colony optimization, genetic and simulated annealing to determine the best route for information flows in self-organized networks. An ant colony optimization is based on the use of the probability parameter for the transition between the nodes located between the source node and the receiving node. To solve the problem of optimization of routing in a simulated annealing, its modification is proposed by adding or removing a transit node based on the coverage of the reaching range of neighboring nodes.

The article offers operators use a modified initialization and ant crossing and genetic algorithms to solve the transport problem in tourism. By analyzing the behavior of ant colonies, such as finding the shortest route through the provision of pheromone function and crossing two solutions genetic algorithm developed methods and algorithms such operations: search for the optimal route, costing resources, search distance, time, route, storing executed routes. In the present work description created system for mobile phones operating system IOS, which performs all above listed transactions.

In the article the modified paradigm of bee colonies for hiking trails through the solution of combinatorial problems on graphs: the selection in the column independent subset of vertices of maximum pairing in column coloring graph, click in the selection box are studied. Based on the analysis of behavioral models of self colony of bees, methods and mechanisms of formation of the ideas are developed, the formation of combinatorial problems on graphs is discussed. Methods of forming search space are studied. Position in the search space is represented as an ordered list.

This paper deals with the model of Boyd loop developed on the basis of Moore automaton. The states of the machine are represented by phases of Boyd loop, by ontology editing process and by search of relevant information in the ontology. Possible transitions between states of the machine parameters have been determined and thus transmitted. The fabricated machine serves as the basis for building tactical units DAFU by DSS commanders

This paper is about finding the optimal route of mobile robots. A genetic algorithm was analyzed and created on the basis of neural net used in this task.

Запропоновано методику параметричної оптимізації перетворювача числа фаз з використанням RL-ланок та генетичного алгоритму, що дає можливість максимально наблизити форму вихідного сигналу перетворювача до ідеальної трифазної напруги.

The article considers the problem of providing users with information about the optimal set of environmental protective kits, which guarantees safety stay in specific area. It describes the problem statement of selection an optimal set of remedies. It considers a method of obtaining recommendations to ensure environmental safety of the population, based on the data about available remedies and active hazard.