International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 9, Issue 6, December 2016
Yu-Rong Zeng, Lu Peng, Jinlong Zhang, Lin Wang
Pages: 1001 - 1015
In practice, suppliers often provide retailers with forward financing to increase demand or decrease inventory. This paper proposes a new and practical joint replenishment and delivery (JRD) model by considering trade credit. However, because of the complex mathematical properties of JRD, high-quality...
Jun Liang, Fei-yun Zhang, Xiao-xia Xiong, Xiao-bo Chen, Long Chen, Guo-hui Lan
Pages: 1041 - 1054
Proximal support vector machine via generalized eigenvalue (GEPSVM) is a recently proposed binary classification technique which aims to seek two nonparallel planes so that each one is closest to one of the two datasets while furthest away from the other. In this paper, we proposed a novel method called...
Zhengfeng Huang, Pengjun Zheng, Yanqiang Ma, Guiyan Jiang, Gang Ren
Pages: 1055 - 1067
Using a multi-agent simulation approach composing of evacuee, cell, and signal, this study aims to proactively curb the oversaturation spread in evacuation and improve the evacuation efficiency. The specific innovation lies in the en-route path choice model and oversaturation control model. A logit model...
Nurgul Demirtas, Umut R. Tuzkaya, Mehmet TanyaÅŸ
Pages: 1068 - 1081
Distribution centers, link supply chain to the customers. Layout of the distribution centers is very important in terms of product conservation at the required service level and delivering of products with minimum cost to the customer from distribution centers. Therefore, the layout design of distribution...
Jianyou Xu, Win-Chin Lin, Junjie Wu, Shuenn-Ren Cheng, Zi-Ling Wang, Chin-Chia Wu
Pages: 1082 - 1100
Recently, both the learning effect scheduling and re-entrant scheduling have received more attention separately in research community. However, the learning effect concept has not been introduced into re-entrant scheduling in the environment setting. To fill this research gap, we investigate re-entrant...
Amin Y. Noaman, José María Luna, Abdul H. M. Ragab, Sebastián Ventura
Pages: 1101 - 1117
The transition from high school to university is a critical step and many students head toward failure just because their final degree option was not the right choice. Both students’ preferences and skills play an important role in choosing the degree that best fits them, so an analysis of...
Lijuan Wang, Jun Shen, Qingguo Zhou, Zhihao Shang, Huaming Chen, Hong Zhao
Pages: 1191 - 1199
The Monte Carlo adaptation rule has been proposed to design asymmetric neural network. By adjusting the degree of the symmetry of the networks designed by this rule, the spurious memories or unwanted attractors of the networks can be suppressed completely. We have extended this rule to design full-connected...