Marcin Czajkowski, Marek Kretowski (auth.), Leszek's Artificial Intelligence and Soft Computing: 12th PDF

By Marcin Czajkowski, Marek Kretowski (auth.), Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (eds.)

ISBN-10: 3642386091

ISBN-13: 9783642386091

ISBN-10: 3642386105

ISBN-13: 9783642386107

The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed lawsuits of the twelfth overseas convention on man made Intelligence and gentle Computing, ICAISC 2013, held in Zakopane, Poland in June 2013. The 112 revised complete papers awarded including one invited paper have been rigorously reviewed and chosen from 274 submissions. The fifty six papers incorporated within the moment quantity are equipped within the following topical sections: evolutionary algorithms and their purposes; information mining; bioinformatics and scientific purposes; agent structures, robotics and regulate; man made intelligence in modeling and simulation; and numerous difficulties of man-made intelligence.

Show description

Read or Download Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II PDF

Similar international books

Read e-book online Numerical Treatment of Inverse Problems in Differential and PDF

In lots of clinical or engineering purposes, the place usual differen­ tial equation (OOE),partial differential equation (POE), or fundamental equation (IE) versions are concerned, numerical simulation is in universal use for prediction, tracking, or regulate reasons. in lots of circumstances, although, winning simulation of a strategy has to be preceded via the answer of the so-called inverse challenge, that's often extra complicated: given meas­ ured facts and an linked theoretical version, be sure unknown para­ meters in that version (or unknown features to be parametrized) in this sort of method that a few degree of the "discrepancy" among facts and version is minimum.

Download e-book for kindle: Hydrologic Frequency Modeling: Proceedings of the by V. Klemeš (auth.), Vijay P. Singh (eds.)

Floods represent a power and significant issue during the usa and plenty of different elements of the realm. they're respon­ sible for losses amounting to billions of greenbacks and ratings of deaths every year. almost all components of the nation--coastal, mountainous and rural--are tormented by them.

Additional info for Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II

Example text

14 M. Gabryel et al. If the system is not empty at the vacation completion epoch, then the service process is being initialized immediately and the new busy period begins. We assume that sequences of successive inter arrival times, service times and the single vacation duration are totally independent random variables. Let us introduce the following notations: • τ1 — the first busy period of the system (starting at t = 0); • δ1 — the first idle time of the system (consisting of the first vacation time v1 and the first server standby time q1 ); • h(τ1 ) — the number of packets completely served during τ1 ; • X(t) — the number of packets present in the system at time t.

1 yia xi (λ1 ) ⎡ ... .. ⎤ xj1 (λn ) j x2 (λn ) ⎥ ⎥ ⎥, .. ⎦ . xji (λn ) (7) where xji (λn ) is the i-th sample of matter absorbance in the wavelength λn and yia is the concentration of a in the i-th sample. Where the relation between the absorbance and concentration can be estimate by a coefficient matrix β that multiply X for to obtain Yˆ estimate. The matrix X and Y are divided in Xcal and Ycal for obtain the coefficient matrix β and Xteste and Yteste are used to test the accuracy of prediction model.

These problems represent the class of multi-objective optimization problems. Also, in most of the problems, the objectives are conflicting among each other. In thesecases the optimization algorithm should consider each objective as a fitness function. Multi-objective Genetic Algorithm (MOGA) have been applied to the multiobjective problems. VEGA (Vector Evaluated Genetic Algorithm) was the first MOGA proposed by Schaffer in 1985 [7]. The main difference between MOGA and standard GAs is the selection operator.

Download PDF sample

Artificial Intelligence and Soft Computing: 12th International Conference, ICAISC 2013, Zakopane, Poland, June 9-13, 2013, Proceedings, Part II by Marcin Czajkowski, Marek Kretowski (auth.), Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada (eds.)


by Mark
4.0

Rated 4.63 of 5 – based on 34 votes