{"product_id":"matheuristics-algorithms-and-implementations-9783030702793","title":"Matheuristics: Algorithms and Implementations","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book is the first comprehensive tutorial on matheuristics, combining mathematical extensions of known heuristics and original, area-specific approaches. It includes pseudocodes of over 40 algorithms, literature references, and sample runs on a common Generalized Assignment Problem example. C++ source codes of all algorithms are available in an associated SW repository. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 214 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 30 April 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThis comprehensive tutorial delves into the realm of matheuristics, a field that builds upon mathematical foundations to enhance and refine previously established heuristics, particularly metaheuristics, and employ unique, domain-specific approaches. It offers a thorough exploration of these contributions, presenting pseudocodes for over 40 algorithms, extensive literature references, and step-by-step descriptions of sample runs on a widely used Generalized Assignment Problem example. Additionally, the accompanying software repository provides C++ source codes for all the algorithms, facilitating further exploration and implementation. By providing a comprehensive and accessible guide, this tutorial serves as a valuable resource for those seeking to advance their understanding and application of matheuristics in solving complex optimization problems.\u003cbr\u003eMatheuristics, as a branch of optimization, draws upon mathematical extensions of established heuristics, particularly metaheuristics, and employs innovative, domain-specific strategies. This comprehensive tutorial offers a detailed examination of these contributions, presenting pseudocodes for over 40 algorithms, comprehensive literature references, and step-by-step descriptions of sample runs on a widely utilized Generalized Assignment Problem example. Furthermore, the accompanying software repository makes available C++ source codes for all the algorithms, enabling further exploration and implementation. By providing a thorough and accessible guide, this tutorial serves as a valuable resource for individuals seeking to advance their understanding and application of matheuristics in solving complex optimization challenges.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 361g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030702793\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2021\u003c\/p\u003e","brand":"Vittorio Maniezzo,Marco Antonio Boschetti,Thomas Stutzle","offers":[{"title":"Paperback \/ softback","offer_id":44103121764602,"sku":"9783030702793","price":62.46,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_1dbfe1f1-037f-4992-9358-1d0222229f4e.jpg?v=1669750319","url":"https:\/\/shulphink.com\/products\/matheuristics-algorithms-and-implementations-9783030702793","provider":"Shulph Ink","version":"1.0","type":"link"}