{"product_id":"applied-evolutionary-algorithms-in-java-0387955682","title":"Applied Evolutionary Algorithms in Java","description":"\u003cp\u003e\u003cstrong\u003eISBN:\u003c\/strong\u003e 0387955682\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAuthor:\u003c\/strong\u003e Ghanea-Hercock, Robert\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eCondition:\u003c\/strong\u003e New\u003c\/p\u003e\u003cp\u003eGenetic algorithms provide a powerful range of methods for solving complex engineering search and optimization algorithms. Their power can also lead to difficulty for new researchers and students who wish to apply such evolution-based methods. Applied Evolutionary Algorithms in JAVA offers a practical, hands-on guide to applying such algorithms to engineering and scientific problems. The concepts are illustrated through clear examples, ranging from simple to more complex problems domains; all based on real-world industrial problems. Examples are taken from image processing, fuzzy-logic control systems, mobile robots, and telecommunication network optimization problems. The JAVA-based toolkit provides an easy-to-use and essential visual interface, with integrated graphing and analysis tools. Topics and features: inclusion of a complete JAVA toolkit for exploring evolutionary algorithms; strong use of visualization techniques, to increase understanding; coverage of all major evolutionary algorithms in common usage; broad range of industrially based example applications; includes examples and an appendix based on fuzzy logic.\u003c\/p\u003e","brand":"Mia Karts","offers":[{"title":"Default Title","offer_id":51823812018464,"sku":"NEW0387955682","price":90.62,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0980\/7426\/3840\/files\/61K6HUejHEL.jpg?v=1781203129","url":"https:\/\/miakarts.com\/products\/applied-evolutionary-algorithms-in-java-0387955682","provider":"Miakarts Books","version":"1.0","type":"link"}