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Metaheuristics for combinatorial opt...
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Greco, Salvatore.
Metaheuristics for combinatorial optimization
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Metaheuristics for combinatorial optimizationedited by Salvatore Greco ... [et al.].
其他作者:
Greco, Salvatore.
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xi, 57 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Metaheuristics.
電子資源:
https://doi.org/10.1007/978-3-030-68520-1
ISBN:
9783030685201$q(electronic bk.)
Metaheuristics for combinatorial optimization
Metaheuristics for combinatorial optimization
[electronic resource] /edited by Salvatore Greco ... [et al.]. - Cham :Springer International Publishing :2021. - xi, 57 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.13322194-5357 ;. - Advances in intelligent systems and computing ;176..
This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants. The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.
ISBN: 9783030685201$q(electronic bk.)
Standard No.: 10.1007/978-3-030-68520-1doiSubjects--Topical Terms:
757062
Metaheuristics.
LC Class. No.: QA402.5
Dewey Class. No.: 519.64
Metaheuristics for combinatorial optimization
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This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants. The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.
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