Titlebook: Handbuch polizeiliches Einsatztraining; Professionelles Konf Mario Staller,Swen Koerner Book 2022 Der/die Herausgeber bzw. der/die Autor(en

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Mario Staller,Swen Koernermization problems (DMOPs) in the real world may change over time. Meanwhile, the Pareto optimal solution set of DMOPs is also often time-varying. In this paper, a kernel ridge regression assisted multi-objective evolutionary algorithm based on decomposition (MOEA/D-KRR) is proposed to effectively so

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Mario Staller,Swen Koerner Accurately estimating the state of charge (SOC) of lithium battery are of great significance for extending battery life and ensuring battery safety. The current methods of SOC estimation do not taking into account of environmental factors. Aiming to solving this problem, an SOC estimation model bas

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r reasonably. So, taken the uncertainty of freight supply and demand into account, a fuzzy empty car distribution model is established in the aim of minimizing the total empty car running kilometers. Furthermore, according to the characteristic of this problem, a two-phase genetic algorithm (GA) is

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Stefan Schadeforward neural network and Spline Weight Function Algorithm of feedforward neural network. The network structure, basic theory and algorithm, and basic performance of the two networks are described. The algebraic algorithm of feedforward neural network can get the global optimum, but BP algorithm is

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Stefan Schade,Markus M. Thielgen,Christian Beck,Thomas Wimmerh other in competition with him, this is the principle of GAN. In this article, we first use the user and movie information as input, and let the generator generate an n-dimensional vector. Next, we propose a new method that integrates the attention mechanism, which is to add the attention mechanism