Download Computational Intelligence and Intelligent Systems: 5th by Youhua Zhang, Kunqi Liu, Gang Liu, Zhanfang Zhao (auth.), PDF

By Youhua Zhang, Kunqi Liu, Gang Liu, Zhanfang Zhao (auth.), Zhihua Cai, Hengjian Tong, Zhuo Kang, Yong Liu (eds.)

This publication constitutes the lawsuits of the fifth overseas Symposium on Computational Intelligence and clever platforms held in Wuhan, China, in October 2010.

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Read or Download Computational Intelligence and Intelligent Systems: 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings PDF

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Additional info for Computational Intelligence and Intelligent Systems: 5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010. Proceedings

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4) Every one of man’s commonly used creative thinking ways, such as induction, analogy, association and imagination, has its own characteristic. However, in nature, their shared feature is to construct and expand a possibility construction space from different sides and in different ways. Among them, it possibly realized manipulations by computers form construction operator series. (5) There are two categories in selective operator series. The first category is condition restraint selection with two kinds of condition forming: aim-driven and problem-driven.

Li features, shows very complicated situation, and seems not to have relatively united rules. As a matter of fact, looking through these complex phenomena, we can see that the most natural matter of creative thinking is to construct possibility construction space which is sufficiently large and related to objects researched, and in this space to select, examine, at last get the new creative object. In other words, it is a process in which to construct new, currently non-existing objects in real world, by using information and knowledge owned by thinking subjects.

The mutation operators in GEP as shown below. 012345678 ⇒ 012345678 + a − /ababa + ∗ − /ababa (5) GEP_EDA EDA generates new individuals according to probability model generated by random statistical distribution. We add up the operators of the tail and head of every normal gene and homologous gene, and than enforce corresponding mutation operators according to the probability distribution table. Generally we can combine this mutation method with single point mutation to maintain the population diversity.

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