Titlebook: Mathematical Optimization Theory and Operations Research; 19th International C Yury Kochetov,Igor Bykadorov,Tatiana Gruzdeva Conference pro

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書(shū)目名稱Mathematical Optimization Theory and Operations Research影響因子(影響力)




書(shū)目名稱Mathematical Optimization Theory and Operations Research影響因子(影響力)學(xué)科排名




書(shū)目名稱Mathematical Optimization Theory and Operations Research網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Mathematical Optimization Theory and Operations Research網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Mathematical Optimization Theory and Operations Research被引頻次




書(shū)目名稱Mathematical Optimization Theory and Operations Research被引頻次學(xué)科排名




書(shū)目名稱Mathematical Optimization Theory and Operations Research年度引用




書(shū)目名稱Mathematical Optimization Theory and Operations Research年度引用學(xué)科排名




書(shū)目名稱Mathematical Optimization Theory and Operations Research讀者反饋




書(shū)目名稱Mathematical Optimization Theory and Operations Research讀者反饋學(xué)科排名

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Communications in Computer and Information Sciencehttp://image.papertrans.cn/m/image/626486.jpg

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978-3-030-58656-0Springer Nature Switzerland AG 2020

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A 0.3622-Approximation Algorithm for the Maximum k-Edge-Colored Clustering Problemf their endpoints. The problem was introduced by Angel et al.[.]. In this paper we give a polynomial-time algorithm for MAX-k-EC with an approximation factor . which significantly improves the best previously known approximation bound . established by Alhamdan and Kononov[.].

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On a Solving Bilevel D.C.-Convex Optimization Problemshe well-known Karush-Kuhn-Tucker approach. Then we employ the novel Global Search Theory and Exact Penalty Theory to solve the resulting nonconvex optimization problem. Following this theory, the special method of local search in this problem is constructed. This method takes into account the structure of the problem in question.

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