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fabrication plants based on knowledge evolution algorithmHAn aesthetic mosaic image construction in a controllable mannerEI,ISTP b/g,g褃b!hR梩^Ye^鵚{QR9e蹚$刱pk啑{誰(W+T螛5u:W5u汻鹼邁蟸Nm對^-N剉擽(u<Adptive Lane Keeping Control of Vehicles with Tire Influence鶺嶯篘yO;NIN8h胈鱊yO踒B沴鶺嶯錧 zy橆v剉:g5uNSOS鼅T瀃寶Yef[xvz>yOf[茐遅-N剉Y韹桘t銐湒峹郪 }R恎蔛鵞V{xvz/ec鹹≧陙膥Q剉詆'`飴秗`飴1uOS畫OTime delay estimation for weak signals with impulsive noisesEI-20124315597841 pAn analysis of some dual problems for mathematical programming problems with inequality and equality constraints孨魚Qausi-Geostrophic筫 z剉郠UO_gN^r竝'` 0渋7h篘y釼筫_╟蹚'Yf[u1\NxvzNR恎xvzJT鶺嶯>y釼筫_╟蹚'Yf[u1\NxvzNR恎90T'Yf[ul蟚a茓剉xvzR恎4A new estimate method for linear constrained systemspTime Delay Estimation for Low SNR Signals with       !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~Impulsive Noises Using Fractional Low Order Covariation Sequences(W陙6q;NIN噀f[Fh秅 N膵 V墐筜筜剉S惙_聣=The regularized Newton method for multiobjective optimizationIn this paper, we introduce the regularized Newton method for multiobjective optimization. The method does not scalarize the original multiobjective optimization problem. For any vector convex function, with a compact level set, the regularized Newton method generates a sequence that converges to the optimal points from any starting point. 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