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ORCIDMetaheuristics for Finding Multiple Solutions 2021
- Mike Preuss, Michael G. Epitropakis, Xiaodong Li, Jonathan E. Fieldsend:
Metaheuristics for Finding Multiple Solutions. Natural Computing Series, Springer 2021, ISBN 978-3-030-79552-8 - Mike Preuss, Michael Epitropakis, Xiaodong Li
, Jonathan E. Fieldsend:
Multimodal Optimization: Formulation, Heuristics, and a Decade of Advances. 1-26 - Jonathan E. Fieldsend:
Representation, Resolution, and Visualization in Multimodal Optimization. 27-55 - Andreas Miessen, Jaromil Najman, Xiaodong Li:
Finding Representative Solutions in Multimodal Optimization for Enhanced Decision-Making. 57-88 - Pascal Kerschke, Christian Grimme:
Lifting the Multimodality-Fog in Continuous Multi-objective Optimization. 89-111 - Simon Wessing:
Towards Basin Identification Methods with Robustness Against Outliers. 113-127 - Konstantinos E. Parsopoulos, Michael N. Vrahatis:
Deflection and Stretching Techniques for Detection of Multiple Minimizers in Multimodal Optimization Problems. 129-144 - Ali Ahrari, Kalyanmoy Deb:
Multimodal Optimization by Evolution Strategies with Repelling Subpopulations. 145-163 - Stefanus C. Maree, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman:
Two-Phase Real-Valued Multimodal Optimization with the Hill-Valley Evolutionary Algorithm. 165-189 - Qiang Yang, Wei-Neng Chen, Jun Zhang:
Probabilistic Multimodal Optimization. 191-228 - Khulood AlYahya, Kevin A. J. Doherty, Ozgur E. Akman, Jonathan E. Fieldsend:
Reduced Models of Gene Regulatory Networks: Visualising Multi-modal Landscapes. 229-258 - Haibing Li, Man-Leung Wong:
Grammar-Based Multi-objective Genetic Programming with Token Competition and Its Applications in Financial Fraud Detection. 259-285 - Alexander Hagg:
Phenotypic Niching Using Quality Diversity Algorithms. 287-315
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