Download Computational Intelligence and Intelligent Systems: 7th by Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione PDF

By Kangshun Li, Jin Li, Yong Liu, Aniello Castiglione

This e-book constitutes the refereed complaints of the seventh overseas Symposium on Intelligence Computation and purposes, ISICA 2015, held in Guangzhou, China, in November 2015.

The seventy seven revised complete papers awarded have been conscientiously reviewed and chosen from 189 submissions. The papers characteristic the main updated learn in research and conception of evolutionary computation, neural community architectures and studying; neuro-dynamics and neuro-engineering; fuzzy good judgment and regulate; collective intelligence and hybrid structures; deep studying; wisdom discovery; studying and reasoning.

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Read or Download Computational Intelligence and Intelligent Systems: 7th International Symposium, ISICA 2015, Guangzhou, China, November 21-22, 2015, Revised Selected Papers PDF

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The performance of IGA was tested by using computer generated Community Detection Based on an Improved Genetic Algorithm 37 The algorithm measure the performance by the correct partition rate. This method can measure the performance by comparing the difference of the structure of the community structure and the structure of the network community structure. The proportion of correct partition node number in the total number of nodes). Figure 1 is IGA and algorithm FN [4], TGA (Tasgin’s genetic algorithm).

Finding communities in linear time: a physics approach. Eur. Phys. J. B 38(2), 331–338 (2003) 10. : A genetic algorithm with local search strategy for improved detection of community structure. Complexity 15(4), 53–60 (2010) 11. : Community detection in social networks with genetic algorithms. In: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, NewYork, USA, pp. 1137–1138. ACM (2008) 12. : A multi-objective genetic algorithm for community detection in networks.

Comput. Struct. 89(23–24), 2325–2336 (2013) 5. : Multimodal size, shape, and topology optimisation of truss structures using the firefly algorithm. Adv. Eng. Softw. 56, 23–37 (2013) 6. : A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Trans. Evol. Comput. 18(2), 301–305 (2014) 22 H. Wang et al. 7. : A gaussian firefly algorithm. Int. J. Mach. Learn. Comput. 1(5), 448–453 (2011) 8. : Modified firefly algorithm. J. Appl. Math. Article ID 467631 (2012). 1155/2012/467631 9.

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