{"product_id":"introduction-to-metaheuristics-for-optimization","title":"Introduction to Metaheuristics for Optimization","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe authors emphasize the simplicity, efficiency, flexibility, and suitability of various approaches used to solve complex optimization problems, making it a valuable resource for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                                                            \u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\\n                              \u003cstrong\u003eLength\u003c\/strong\u003e: 226 pages\u003cbr\u003e\\n                              \u003cstrong\u003ePublication date\u003c\/strong\u003e: 13 November 2018\u003cbr\u003e\\n                              \u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\\n                          \u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe authors emphasize the relative simplicity, efficiency, flexibility of use, and suitability of various approaches employed to tackle complex optimization problems. With extensive experience as interdisciplinary lecturers and researchers, they elucidate the common foundational concepts shared among the key methodologies in their explanations. This textbook serves as an excellent introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe authors highlight the relative simplicity, efficiency, flexibility of use, and appropriateness of diverse approaches employed to address challenging optimization problems.\u003c\/p\u003e\u003cp\u003eWith extensive experience as interdisciplinary lecturers and researchers, they elucidate the common foundational concepts shared among the key methodologies in their explanations.\u003c\/p\u003e\u003cp\u003eThis textbook serves as an excellent introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\\n                            \u003cstrong\u003eWeight\u003c\/strong\u003e: 480g\\n                            \u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 165 x 243 x 18 (mm)\\n                            \u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783319930725\\n                            \u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2018\\n                          \u003c\/p\u003e","brand":"Bastien Chopard,Marco Tomassini","offers":[{"title":"Hardback","offer_id":44102800310522,"sku":"9783319930725","price":37.47,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/f160a3083b1b73ccce2a3338f29d2dd5.jpg?v=1631849073","url":"https:\/\/shulphink.com\/products\/introduction-to-metaheuristics-for-optimization","provider":"Shulph Ink","version":"1.0","type":"link"}