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Yamada, ”Conventional genetic algorithm for job shop problem”, Proceedings of the 4th International Conference on Genetic Algorithms, San Diego, California, pp.477-479, 1991
Goldberg, “Parallel recombinative simulated annealing a genetic algorithm”, Parallel Computing 21, pp.1-28, 1995
Lenstra, “Job shop scheduling by simulated annealing”, Operations Research 40(1), pp.113-125, 1992
IEEE transactions on Systems, man, and Cybernetics Part B: Cybernetics, 26(1): pp.29-41, 1996.

Introduction Research and test reactors have been using low-density U compounds highly enriched in 235U,as nuclear fuel[1].
The Results of Irradiation Test Tests RERTR-1 and -2 were low temperatures scoping tests that contained a wide range of uranium alloys compositions.
References [1]G.L.Hofman, M.K.Meyer, A.E.Ray. 1998,Design of high density gamma-phase uranium alloys for LEU dispersion fuel applications.
Burkes,Thomas Hartmann,Ramprashad Prabhakaran, et al.2009, Journal of Alloys and Compounds, 479 :140 [3]J.L.
Walters.1994, Nuclear Materials, 10:1 [18]J.S.

Introduction Cluster, grid and cloud computing Cloud computing [1] is an emerging technology that is thought to realize the vision of utility computing where customers pay for computing services in the same manner as they pay for other household utilities such as phone and electricity [4].
References [1] Jin, Hai; Ibrahim, Shadi; Bell, Tim; Li Qi, Cao, Haijun; Wu, Song and Shi, Xuanhua, "Tools and Technologies for Building Clouds: Cloud Computing: Principle.s, Systems ancl Application.9, Computer Communications and Networks, 2010, Volume 0, Part l, pp. 3-20
[2] Kim, Won "Cloud Computing: Today and Tomorrow", Journal of Object Technology, Volume 8, no. 1, 2009, pp. 65-72
[8] Sakr, Sherif; Liu, Anna; Batista, Daniel M. and Alomari, Mohamed, "A Survey of Large Scale Data Management Approaches in Cloud Environments," to appear in IEEE Communication.s .surveV.s and tutorial.s, 201 1
Suhail; Sakr, Majd F., "Initial findings for provisioning variation in cloud computing," Proc. of the IEEE International Conference on Cloud Computing Technology and Science, 2010, pp. 473-479

The test result is shown in table 1.
For example, σd,f=506.5N-0.0479 and σd,f=759.6N-0.0289 were for 1-1 and 1-2 respectively.
Test groups 1-1 1-2 1-3 1-4 1-5 1-6 1-7 Cement content [%] 3 4 4 4 4 5 6 Compactness [%] 96 90 93 96 98 96 96 Water content [%] 11.8 11.78 11.6 11.76 11.69 10.4 11.2 [1%] 209.6 321.3 348.3 446.1 746.8 534.7 597.4 Test groups 1-8 1-9 1-10 1-11 1-12 1-13 Cement content [%] 7 4 4 4 4 4 Compactness [%] 96 96 96 96 96 96 Water content [%] 11.3 11.4 8.5 18.6 15.4 13.4 [1%] 699.3 248.12 164.86 189.37 223.42 236.59 Influencing Factors.
(No.CXKJSF0103) References [1] Li D.Q: J. of Geo.
ARRB, Vol. 1(1962), p. 693-718

UASP s k�PK w w sT sTK 5,01 )1( + − 1 -1 pk_góra pk_dół x4 MT ωg NPK RiT PS ωgz msT 1 Fig. 1.
Parametr Object PZR2 01 ZRN4 01 K [p.u.] 2,1 0,7 Tw [s] 1,15 5,5 Tm [s] 6,15 7,47 Table 1.
Object Tw 90 % 95 % 100 % 105 % 110 % fm [Hz] PZR2 01 0,0304 0,0333 0,0360 0,0387 0,0416 ZRN4 01 0,0406 0,0450 0,0479 0,0508 0,0549 Table 2.
Therefore knowledge about a and b parameters and characteristic point fm cause that definition of Tw parameter is possible. 1,00 1,05 1,10 1,15 1,20 1,25 1,30 0,030 0,033 0,036 0,039 0,042 IfmI [Hz] Tw [s] Fig. 3.
Reference [1] H.

Mathier 1,c and S.
This criterion has nevertheless G Flow to compensate shrinkage and deformation TL Deformation TC Grain 1 Grain 2Grain boundary Figure 1: Schematics of hot tearing formation and of the two-phase problem considered in the RDG approach.[1].
References [1] M.
Engng 12 (2004) 479
Engng A336 (2002) 1.

Djellouli 1, b, A.
Other vibration bands such as those Si-O were also observed at 458, 464, 479 and 1040cm-1.
Table 1.
Fig. 1.
Table 1.

Table 1.
Figure 1.
Synthesized tall oil-based polyols, their HV and viscosities Polyol HV [mg KOH/g] Viscosity [mPa·s] T1_DEG 200 ± 1 650 T2_DEG 204 ± 1 1,702 T3_DEG 316 ± 3 93,593 T1_DEOA 504 ± 8 46,699 T2_DEOA 451 ± 2 582,000 T3_DEOA 318 ± 2 38,600,000 T1_TEOA 508 ± 3 6,529 T2_TEOA 479 ± 9 179,000 T3_TEOA 325 ± 2 104,000 T1_TMP 379 ± 9 41,218 T2_TMP 237 ± 1 26,237 T3_TMP 206 ± 1 2,260,000 FTIR spectra of twelve tall oil-based polyols are given in Figure 3.
Acknowledgement This research was funded by ERDF project No. 1.1.1.1/20/A/098 “100% Bio-based thermal insulation polymer development”.
References [1] Z.

The mixture was then hand-shaken for 1 min and allowed to stand at room temperature for 1 h prior to commencement of any analysis.
References [1] C.
Mater 13. (2001) (2): 479–486
Journal of Hazardous Materials 186(2011) (1) 280-287
Journal of nanoparticle research 14 (2012) 1131): 1-7

· Experimental platform: Figure 1 (a) shows the 3 D schemes of the omatosensory steering device; figure 1 (b) is the 3 D schemes of the velocity sensor device; figure 1 (c) shows 3 D schemes of the virtual reality device.
Among them, very unsatisfied is marked 1 point, very satisfied is given seven points
At the data display stage, the encoded records of the interview will be shown in percentage, as is shown in table 1.
Table 4 Quantitative analysis - narrative statistics of satisfaction evaluation independent variable sample number (person) minimun maximun average Standard deviations omatosensory steering device experimental group 30 4 7 5.10 .803 control group 30 3 6 4.30 .596 Velocity sensor device experimental group 30 4 6 5.30 .750 control group 30 1 4 2.53 .629 Virtual reality device experimental group 30 4 7 5.70 .837 control group 30 1 3 2.03 .556 Table 5 Quantitative analysis - signal factor variance analysis results of satisfaction evaluation Source sum of squares degree of freedom Average of the sum of squares F verification significance omatosensory steering device interblock intragroup total 9.600 29.000 38.600 1 58 59 9.600 .500 19.200 .000 interblock intragroup total 114.817 27.767 142.583 1 58 59 114.817 .479 239.833 .000 Velocity sensor device interblock intragroup total 201.667 29.267 230.933 1 58 59 201.667 .505 399.658 .000 Virtual reality
References [1] E.B.