New optimization metaheuristic based on co-operation of biology related algorithms
Автор: Akhmedova Shakhnaz Agasuvar Kyzy, Semenkin Evgeny Stanislavovich
Журнал: Сибирский аэрокосмический журнал @vestnik-sibsau
Рубрика: 2-я международная конференция по математическим моделям и их применению
Статья в выпуске: 4 (50), 2013 года.
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In this paper we describe and investigate a new self-tuning metaheuristic approach called Co-Operation of Biology Related Algorithms (COBRA) based on five well-known nature-inspired optimization methods such as Particle Swarm Optimization, WolfPack Search, Firefly Algorithm, Bat Algorithm and Cuckoo Search Algorithm. Besides, two modifications of COBRA are introduced. Also new metaheuristic was used for adjustment of neural network’s weight coefficients for solving different classification problems.
Nature-inspired algorithms, self-tuning, neural networks, classification
Короткий адрес: https://sciup.org/148177168
IDR: 148177168
