Evolutionary Approach to Machine Learning and Deep Neural Networks

DOI10.1007/978-981-13-0200-8zbMath1394.68003OpenAlexW2808067736MaRDI QIDQ4569272

Hitoshi Iba

Publication date: 28 June 2018

Full work available at URL: https://doi.org/10.1007/978-981-13-0200-8

zbMATH Keywords

gene regulatory networksmeta-heuristicssupport vector machinesgenetic programmingevolutionary algorithmsmachine learningdifferential evolution\(k\)-means clusteringhumanoid robotsparticle swarm optimisationevolutionary optimisationdeep neural networksgenome representation\(k\) nearest neighboursevolving reaction networksKaizen programmingneuro-evolutionvanishing ideal GP

Mathematics Subject Classification ID

Problems related to evolution (92D15) Learning and adaptive systems in artificial intelligence (68T05) Approximation methods and heuristics in mathematical programming (90C59) Neural networks for/in biological studies, artificial life and related topics (92B20) Research exposition (monographs, survey articles) pertaining to computer science (68-02) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Genetics and epigenetics (92D10) Artificial intelligence for robotics (68T40) Systems biology, networks (92C42)

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