Evolutionary Multi-Criterion Optimization
. Ed(S): Trautmann, Heike; Rudolph, Gunter; Klamroth, Kathrin; Schutze, Oliver; Wiecek, Margaret; Jin, Yaochu; Grimme, Christian
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Description for Evolutionary Multi-Criterion Optimization
Paperback. Editor(s): Trautmann, Heike; Rudolph, Gunter; Klamroth, Kathrin; Schutze, Oliver; Wiecek, Margaret; Jin, Yaochu; Grimme, Christian. Series: Lecture Notes in Computer Science. Num Pages: 702 pages, 267 black & white illustrations, biography. BIC Classification: UKN; UMB; UY; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155. Weight in Grams: 1080.
This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017.
This book constitutes the refereed proceedings of the 9th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2017 held in Münster, Germany in March 2017.
The 33 revised full papers presented together with 13 poster presentations were carefully reviewed and selected from 72 submissions. The EMO 2017 aims to discuss all aspects of EMO development and deployment, including theoretical foundations; constraint handling techniques; preference handling techniques; handling of continuous, combinatorial or mixed-integer problems; local search techniques; hybrid approaches; stopping criteria; parallel EMO models; performance evaluation; test functions and benchmark problems; algorithm selection approaches; many-objective optimization; large scale optimization; real-world applications; EMO ... Read more
Show LessProduct Details
Format
Paperback
Publication date
2017
Publisher
Springer International Publishing AG Switzerland
Number of pages
702
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
702
Place of Publication
Cham, Switzerland
ISBN
9783319541563
SKU
V9783319541563
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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