{"product_id":"evolutionary-wind-turbine-placement-optimization-with-geographical-constraints-9783658184643","title":"Evolutionary Wind Turbine Placement Optimization with Geographical Constraints","description":"\u003cp\u003e • Author(s): Daniel Lückehe\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer Vieweg\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eDaniel Lückehe presents different approaches to optimize locations of multiple wind turbines on a topographical map. The author succeeds in significantly improving placement solutions by employing optimization heuristics. He proposes various real-world scenarios that represent real planning situations. Advanced evolutionary heuristics for the turbine placement optimization create not only highly optimized solutions but also significantly different solutions to give decision-makers optimal choices. As a matter of fact, wind turbines play an important role towards green energy supply. An optimal location is essential to achieve the highest possible energy efficiency. \u003cbr\u003e\u003cb\u003eContents\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSolving Optimization Problems\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWind Prediction Model \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGeographical Planning Scenarios\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConstrained Placement Optimization\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eConstraint Handling with Penalty Functions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdvanced Evolutionary Heuristics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eTarget Groups\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eLecturers and students of computer science, especially in optimization methods and renewable energies\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eNatural scientists interested in advanced heuristics\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003eThe Author\u003c\/b\u003e\u003cb\u003eDr. Daniel Lückehe\u003c\/b\u003e defended his PhD thesis in the PhD program \"System Integration of Renewable Energy\" at the Carl von Ossietzky University in Oldenburg, Germany. As postdoctoral researcher he conducts research in computational health informatics at the Leibnitz University in Hanover, Germany.\u003cbr\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277528817815,"sku":"9783658184643","price":3639.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783658184643.webp?v=1769288641","url":"https:\/\/atlanticbooks.com\/products\/evolutionary-wind-turbine-placement-optimization-with-geographical-constraints-9783658184643","provider":"Atlantic Books","version":"1.0","type":"link"}