Details
Metaheuristics for Combinatorial Optimization
Advances in Intelligent Systems and Computing, Band 1332
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181,89 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 13.02.2021 |
| ISBN/EAN: | 9783030685201 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p><p></p>
<p>The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. </p><p></p>
<p>Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.</p><p></p><br>
<p>The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. </p><p></p>
<p>Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.</p><p></p><br>
<p>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.</p><p></p><p></p><p>The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. </p><p></p><p>Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.</p>
Analyzes metaheuristics from its designing to its implementation Includes recent research results from Metaheuristics Summer School (MESS 2018) held in Taormina, Italy, on 15 April 2018 Discusses recent research in Metaheuristics for Combinatorial Optimization
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