International Journal of Computational Intelligence Systems

ISSN: 1875-6883
Volume 8, Issue 4, August 2015
Ning Xiong, Daniel Molina, Miguel Leon Ortiz, Francisco Herrera
Pages: 606 - 636
Metaheuristics has attained increasing interest for solving complex real-world problems. This paper studies the principles and the state-of-the-art of metaheuristic methods for engineering optimization. Both the classic and emerging approaches to optimization using metaheuristics are reviewed and analyzed....
Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi
Pages: 637 - 666
Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers...
Jenny Fajardo Calderín, Antonio D. Masegosa, David A. Pelta
Pages: 667 - 689
Since their first appearance in 1997 in the prestigious journal Science, algorithm portfolios have become a popular approach to solve static problems. Nevertheless and despite that success, they have not received much attention in Dynamic Optimization Problems (DOPs). In this work, we aim at showing...
Cuiping Wei, Zhiliang Ren, Rosa M. Rodríguez
Pages: 701 - 712
Hesitant fuzzy linguistic term sets (HFLTSs) are very useful for dealing with the situations in which the decision makers hesitate among several linguistic terms to assess an alternative. Some multi-criteria decision-making (MCDM) methods have been developed to deal with HFLTSs. These methods are derived...
Isis Torres, Carlos Cruz, José L. Verdegay
Pages: 713 - 724
The Truck and Trailer Routing Problem consists of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. This problem has been solved previously considering accurate data available. But in a real-world the available knowledge about some data and parameters involves a vague...
Lingyu Yan, Hefei Ling, Dengpan Ye, Chunzhi Wang, Zhiwei Ye, Hongwei Chen
Pages: 725 - 734
Currently, researches on content based image copy detection mainly focus on robust feature extraction. However, most of existing approaches use only a single feature to represent an image for copy detection, which is often insufficient to characterize the image content. Besides, with the exponential...
Mohammad Amin Adibi, Jamal Shahrabi
Pages: 735 - 746
A two-phase online anomaly detection method based on support vector clustering (SVC) in the presence of non-stationary data is developed in this paper which permits arbitrary-shaped data clusters to be precisely treated. In the first step, offline learning is performed to achieve an appropriate detection...