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Titlebook: Numerical and Evolutionary Optimization – NEO 2017; Leonardo Trujillo,Oliver Schütze,Paul Valle Conference proceedings 2019 Springer Inter

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發(fā)表于 2025-3-23 10:33:23 | 只看該作者
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發(fā)表于 2025-3-23 15:33:41 | 只看該作者
R. C. Gutiérrez-Urquídez,G. Valencia-Palomo,O. M. Rodríguez-Elías,F. R. López-Estrada,J. A. Orrante-gent types of psychologies, some of which are applied to understanding religious aspects of human lives or to researching specific religious phenomena, while others are not. Within this heterogeneous field that978-94-017-8374-3978-90-481-3491-5
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發(fā)表于 2025-3-23 21:06:43 | 只看該作者
J. A. Morales,M. A. Castro,D. Garcia,C. Higuera,J. Sandovalgent types of psychologies, some of which are applied to understanding religious aspects of human lives or to researching specific religious phenomena, while others are not. Within this heterogeneous field that978-94-017-8374-3978-90-481-3491-5
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發(fā)表于 2025-3-24 01:10:20 | 只看該作者
Pablo J. Prieto,Nohe R. Cazarez-Castro,Luis T. Aguilar,Selene L. Cardenas-Macielgent types of psychologies, some of which are applied to understanding religious aspects of human lives or to researching specific religious phenomena, while others are not. Within this heterogeneous field that978-94-017-8374-3978-90-481-3491-5
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發(fā)表于 2025-3-24 05:09:13 | 只看該作者
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發(fā)表于 2025-3-24 08:39:14 | 只看該作者
Miguel Angel Moreles,Joaquin Pe?a,Jose Angel Neriagent types of psychologies, some of which are applied to understanding religious aspects of human lives or to researching specific religious phenomena, while others are not. Within this heterogeneous field that978-94-017-8374-3978-90-481-3491-5
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發(fā)表于 2025-3-24 14:03:19 | 只看該作者
Jesus Lopez-Arredondo,Esteban Tlelo-Cuautle,Luis Gerardo de?la Fraga,Victor Hugo Carbajal-Gomez,Migugent types of psychologies, some of which are applied to understanding religious aspects of human lives or to researching specific religious phenomena, while others are not. Within this heterogeneous field that978-94-017-8374-3978-90-481-3491-5
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發(fā)表于 2025-3-24 16:08:43 | 只看該作者
Numerical and Evolutionary Optimization – NEO 2017
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