{"product_id":"9783319333816","title":"Machine Learning for Evolution Strategies","description":"\u003cp\u003eThis book\nintroduces numerous algorithmic hybridizations between both worlds that show\nhow machine learning can improve and support evolution strategies. The set of\nmethods comprises covariance matrix estimation, meta-modeling of fitness and\nconstraint functions, dimensionality reduction for search and visualization of\nhigh-dimensional optimization processes, and clustering-based niching. After\ngiving an introduction to evolution strategies and machine learning, the book\nbuilds the bridge between both worlds with an algorithmic and experimental\nperspective. Experiments mostly employ a (1+1)-ES and are implemented in Python\nusing the machine learning library scikit-learn. The examples are conducted on\ntypical benchmark problems illustrating algorithmic concepts and their\nexperimental behavior. The book closes with a discussion of related lines of\nresearch.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePublication Year: \u003c\/strong\u003e2016\u003cbr\u003e\u003cstrong\u003eImprint: \u003c\/strong\u003eSpringer International Publishing\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003eFormat: H\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003eWeight (Gram): 3317\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/p\u003e","brand":"Oliver Kramer","offers":[{"title":"Default Title","offer_id":41263919825074,"sku":"9783319333816","price":2656194.65,"currency_code":"IDR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0502\/5382\/4178\/products\/331933381X.01_SCLZZZZZZZ.jpg?v=1635988055","url":"https:\/\/readabook.store\/en-id\/products\/9783319333816","provider":"READABOOK BY ALKEM","version":"1.0","type":"link"}