Evolutionary Computation in Combinatorial Optimization: 17th European Conference, EvoCOP 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings (Lecture Notes in Computer Science)
暫譯: 組合優化中的演化計算:第17屆歐洲會議,EvoCOP 2017,荷蘭阿姆斯特丹,2017年4月19-21日,會議論文集(計算機科學講義)

  • 出版商: Springer
  • 出版日期: 2017-03-10
  • 售價: $2,420
  • 貴賓價: 9.5$2,299
  • 語言: 英文
  • 頁數: 264
  • 裝訂: Paperback
  • ISBN: 3319554522
  • ISBN-13: 9783319554525
  • 相關分類: Computer-Science
  • 海外代購書籍(需單獨結帳)

商品描述

This book constitutes the refereed proceedings of the 17th European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoMUSART and EvoApplications.

The 16 revised full papers presented were carefully reviewed and selected from 39 submissions. The papers cover both empirical and theoretical studies on a wide range of academic and real-world applications. The methods include evolutionary and memetic algorithms, large neighborhood search, estimation of distribution algorithms, beam search, ant colony optimization, hyper-heuristics and matheuristics. Applications include both traditional domains, such as knapsack problem, vehicle routing, scheduling problems and SAT; and newer domains such as the traveling thief problem, location planning for car-sharing systems and spacecraft trajectory optimization. Papers also study important concepts such as pseudo-backbones, phase transitions in local optima networks, and the analysis of operators. This wide range of topics makes the EvoCOP proceedings an important source for current research trends in combinatorial optimization.

商品描述(中文翻譯)

本書為第17屆歐洲進化計算在組合優化中的會議(EvoCOP 2017)的經過審稿的會議論文集,於2017年4月在荷蘭阿姆斯特丹舉行,並與Evo*2017活動的EuroGP、EvoMUSART和EvoApplications共同舉辦。

本次會議共呈現了16篇經過修訂的完整論文,這些論文是從39篇投稿中仔細審核和選出的。這些論文涵蓋了廣泛的學術和實際應用的實證和理論研究。所使用的方法包括進化算法和模擬算法、大鄰域搜索、分佈估計算法、束搜索、螞蟻群優化、超啟發式和數學啟發式。應用範疇包括傳統領域,如背包問題、車輛路由、排程問題和SAT;以及較新的領域,如旅行盜賊問題、汽車共享系統的地點規劃和太空船軌跡優化。論文還研究了重要概念,如偽骨幹、局部最優網絡中的相變化以及運算子的分析。這些廣泛的主題使得EvoCOP會議論文集成為當前組合優化研究趨勢的重要來源。

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