Titlebook: Advanced Computational Methods for Knowledge Engineering; Proceedings of the 6 Hoai An Le Thi,Hoai Minh Le,Ngoc Thanh Nguyen Conference pro

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https://doi.org/10.1007/978-3-662-26636-6pted distance is proposed for discrete space exploration of a derivative-free optimization method. The results obtained with this method on a simplified industrial application are compared with results of state-of-the-art black-box optimization methods.

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https://doi.org/10.1007/978-3-662-26633-5erage values of the following and previous sub-sequence of the most similar values. Experimental results on three datasets show that our approach outperforms than seven related methods in case of time series having effective information.

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Conference proceedings 2020s and Applications; and Knowledge Information and Engineering Systems. Researchers and practitioners in related areas will find a wealth of inspiring ideas and useful tools & techniques for their own work.?.

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過份

Beitrag zur Histologie der Zahnwurzelcysten,ness. The original mathematical model is a multi-objective optimization problem with binary integer variables. It is then transformed to a single objective optimization problem. One may use a commercial software to solve such problem but the computation time is expensive especially in large scale pr

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Hans-Ernst Schwiete,Wolfram Roth The mathematical model given by Lu, Gupte, Huang [.] is a mixed integer non linear optimization problem. Existing solution methods are complicated and their computing time is long. Hence, it is necessary to develop efficient solution methods for the considered model. Our approach is based on DC (di

ARC

Hans-Ernst Schwiete,Wolfram Rothotal travel time of trains in a single track railways network. The model can be written in the form of a mixed 0–1 linear program which has the worst case exponential complexity to calculate the optimal solution. In this paper, we propose a computationally efficient approach to solve the train sched