{"product_id":"9789819635375","title":"Lecture Notes in Computer Science: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II","description":"\u003ch1\u003eLecture Notes in Computer Science: 13th International Conference, EMO 2025, Canberra, ACT, Australia, March 4–7, 2025, Proceedings, Part II\u003c\/h1\u003e \u003ch2\u003eSingh, Hemant; Ray, Tapabrata; Knowles, Joshua; Li, Xiaodong; Branke, Juergen; Wang, Bing; Oyama, Akira\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis two-volume set LNCS 15512-15513 constitutes the proceedings of the 13th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2025, held in Canberra, ACT, Australia, in March 2025.\u003c\/p\u003e\n\u003cp\u003e\u003cspan data-olk-copy-source=\"MessageBody\"\u003eThe 38 full papers and 2 extended abstracts presented in this book were carefully reviewed and selected from 63 submissions\u003c\/span\u003e. The papers are divided into the following topical sections: \u003c\/p\u003e\n\u003cp\u003ePart I : Algorithm design; Benchmarking; Applications.\u003c\/p\u003e\n\u003cp\u003ePart II : Algorithm analysis; Surrogates and machine learning; Multi-criteria decision support.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2025-02-28\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9789819635375\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-981-96-3538-2\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 266\u003c\/p\u003e ","brand":"Springer Nature Singapore","offers":[{"title":"Default Title","offer_id":45227686985868,"sku":"9789819635375","price":58.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9789819635375.jpg?v=1774024972","url":"https:\/\/lateknightbooks.com\/products\/9789819635375","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}