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Titlebook: Nature Inspired Cooperative Strategies for Optimization (NICSO 2011); David Alejandro Pelta,Natalio Krasnogor,Rodica Lun Book 2011 Springe

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發(fā)表于 2025-3-26 23:26:25 | 只看該作者
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發(fā)表于 2025-3-27 02:57:46 | 只看該作者
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Cooperation and Self-organized Criticality for Studying Economic Crises,ly accepted models and theories that practically avoid the occurrence of ., ., . and . the economic science is incomplete and clearly needs a major reorientation and a change of focus from the deterministic to the holistic perspective..The causes of unpredictable behaviour in economic systems are in
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Enhancing the Computational Mechanics of Cellular Automata,nd set of update rules. However, the discovery of rules exhibiting a high degree of global self-organization for certain tasks is not easily achieved. In this paper, a fast compression based technique is proposed, capable of detecting promising emergent space-time patterns of cellular automata. This
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發(fā)表于 2025-3-27 22:12:22 | 只看該作者
Book 2011m solving techniques integrate advanced evolution and cooperation strategies, encompassing a range of spatio-temporal scales for visionary conceptualization of evolutionary computation..The previous editions of NICSO were held in Granada, Spain (2006), Acireale, Italy (2007), Tenerife, Spain (2008),
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發(fā)表于 2025-3-28 05:44:08 | 只看該作者
Genotype-Fitness Correlation Analysis for Evolutionary Design of Self-assembly Wang Tiles,ess function, is an effective methodology. Thus, we present here fitness distance correlation to measure how effectively the fitness of an individual correlates to its genotypic distance to a known optimum when the genotype-phenotype-fitness mapping is a complex, stochastic and non-linear relationship.
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發(fā)表于 2025-3-28 08:22:14 | 只看該作者
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發(fā)表于 2025-3-28 11:16:50 | 只看該作者
Simplified Social Impact Theory Based Optimizer in Feature Subset Selection,imizer - the binary Particle Swarm Optimization algorithm. The main advantages of the method are the simple implementation and the small number of parameters (two). Additionally, it is empirically shown that the sSITO method even outperforms the nearest neighbor margin based SIMBA algorithm.
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