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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms - Studies in Computational Intelligence Oliver Schutze 2021 edition
Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms - Studies in Computational Intelligence
Oliver Schutze
This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms.
234 pages, 44 Illustrations, color; 86 Illustrations, black and white; XIII, 234 p. 130 illus., 44 i
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 6. janvāris |
| ISBN13 | 9783030637750 |
| Izdevēji | Springer Nature Switzerland AG |
| Lapas | 234 |
| Izmēri | 150 × 220 × 10 mm · 353 g |
| Valoda | Vācu |
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