Recent Advances in Computational Optimization
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Chapter 1. Contraction methods for correlation clustering: the order is important (L aszl o Aszal os).- Chapter 2. Optimisation of Preparedness and Response of Health services in major crises using the IMPRESS platform (Nina Dobrinkova).- Chapter 3. The new approach for dynamic optimization with variability constraints (Pawel Drag).- Chapter 4. Intercriteria Analisys of ACO Performance for Workforce Planning Problem (Olympia Roeva).- Chapter 5. Is Prufer Code encoding always a bad idea? (Hanno Hildmann).- Chapter 6. A model for wireless-access network topology and a PSO-based approach for its optimization (Hanno Hildmann).- Chapter 7. InterCriteria Analysis Approach for Comparison of Simple and Multi-population Genetic Algorithms Performance (Maria Angelova).- Chapter 8. Structure Optimization and Learning of Fuzzy Cognitive Map with the use of Evolutionary Algorithm and Graph Theory Metrics (Katarzyna Poczeta).- Chapter 9. Fuzziness in the Berth Allocation Problem (Flabio Gutierrez).- Chapter 10. Identifying Clusters in Spatial Data via Sequential Importance Sampling (Nishanthi Raveendran).- Chapter 11. Multiobjective Optimization Grover Adaptive Search (Benjamin Baran.- Chapter 12. Discovering Knowledge from Predominantly Repetitive Data by InterCriteria Analysis (Olympia Roeva)
Autor: | Fidanova, Stefka |
Nakladatel: | Springer, Berlin |
Rok vydání: | 2018 |
Jazyk : | Angličtina |
Vazba: | Hardback |
Počet stran: | 140 |
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