By Limin Mao, Shujun Liu, Peiyi Zhu (auth.), Jingsheng Lei, Fu Lee Wang, Hepu Deng, Duoqian Miao (eds.)
This ebook constitutes the refereed court cases of the foreign convention on synthetic Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The 163 revised complete papers offered have been conscientiously reviewed and chosen from 724 submissions. The papers are equipped in topical sections on functions of man-made intelligence; functions of computational intelligence; information mining and information gaining knowledge of; evolution technique; clever snapshot processing; computing device studying; neural networks; development recognition.
Read Online or Download Emerging Research in Artificial Intelligence and Computational Intelligence: International Conference, AICI 2012, Chengdu, China, October 26-28, 2012. Proceedings PDF
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Additional info for Emerging Research in Artificial Intelligence and Computational Intelligence: International Conference, AICI 2012, Chengdu, China, October 26-28, 2012. Proceedings
Let L be the direct product lattice implication algebra of Li(i∈J). Then Pi is a lattice implication homomorphism image from L to Li (i∈J). Proof From the definition of Pi(i∈J), we have Pi(f∨g)= (f∨g)(i)=f(i)∨ig(i)= Pi(f)∨iPi(g) Pi(f∧g)= (f∧g)(i)=f(i)∧ig(i)= Pi(f) ∧iPi(g) Pi(f*)= f*(i)=(f(i))*i=(Pi(f)) *I Pi(f→g)= (f→g)(i)=f(i) →ig(i)= Pi(f) →iPi(g) Pi(O)= Oi Pi(I)=Ii For any f, g∈L,i∈J,O and I are the least and the greatest element of L respectively. Hence, Pi is a lattice implication homomorphism image from L to Li (i∈J).
Theorem 6. Let L be the direct product of lattice implication algebras Li(i∈J), Pi L→Li is the projection operation from L to Li and Pi(α)=αI (i∈J), Li is a lattice implication sub algebra of Lk and αi≤α k for any i∈J, A∈FL(LP(X)) , p∈LP(X), then |=α p if and only if P A |=α L A Lk p. k 4 k F-Tautologies in Lattice Valued Logic Systems Based on Direct Product of Lattice Implication Algebras Definition 9. Let L be a lattice, F⊆L is called a filter of L if F satisfies the following: (1) If x≤y then y∈F for any x∈F, y∈L.
Li *In table 2, the optical result 1 is optical path with time window, and the result 2 is optical path without time window, under this condition, the used vehicle number is 4. 6 Conclusion The selection mechanism of ACO is gives better road bigger chance to be chose, and the positive feedback mechanisms will promote the advantage of better road to be chose in the later time. This paper improve the algorithm in the following 3 aspects: (1). Logistics operation system is the combination of people, vehicle, road.