International Journal of Computational Intelligence Systems

Volume 2, Issue 3, December 2009

1. Anisotropic Wavelet-Based Image Nearness Measure

James F. Peters, Leszek Puzio
Pages: 168 - 183
The problem considered in this article is how to solve the image correspondence problem in cases where it is important to measure changes in the contour, position, and spatial orientation of bounded regions. This article introduces a computational intelligence approach to the solution of this problem...

2. An Evolutionary Approach to Underwater Sensor Deployment

Erik F. Golen, Bo Yuan, Nirmala Shenoy
Pages: 184 - 201
Underwater sensor deployment for military surveillance is a significant challenge due to the inherent difficulties posed by the underwater channel in terms of sensing and communications between sensors, as well as the exorbitant cost of the sensors. As a result, these sensors must be deployed as efficiently...

3. Experiences and Reflections on Text Summarization Tools

Shuha Liu
Pages: 202 - 218
Text summarization is a process of distilling the most important content from text documents. While human beings have proven to be extremely capable summarizers, computer based automatic abstracting and summarizing has proven to be extremely challenging tasks. In this paper we report our experience with...

4. An Alternative Ranking Approach and Its Usage in Multi-Criteria Decision-Making

Cengiz Kahraman, A. Cagri Tolga
Pages: 219 - 235
In the process of fuzzy decision-making, ranking of fuzzy numbers is a necessity. The types of fuzzy numbers are triangular, trapezoidal, and L-R type. In the literature, there are many methods developed for ranking fuzzy numbers. These methods may produce different ranking results. Many of these methods...

5. A New Artificial Immune System Algorithm for Multiobjective Fuzzy Flow Shop Problems

Cengiz Kahraman, Orhan Engin, Mustafa Kerim Yilmaz
Pages: 236 - 247
In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problems. A new mutation operator is also described for this AIS. Fuzzy sets are used to model processing times and due dates. The objectives are to minimize the average tardiness...

6. A Hybrid Artificial Immune Optimization Method

X. Wang, X.Z. Gao, S. J. Ovaska
Pages: 248 - 255
This paper proposes a hybrid optimization method based on the fusion of the Simulated Annealing (SA) and Clonal Selection Algorithm (CSA), in which the SA is embedded in the CSA to enhance its search capability. The novel optimization algorithm is also employed to deal with several nonlinear benchmark...

7. BMR: Benchmarking Metrics Recommender for Personnel issues in Software Development Projects

Angel Garcia-Crespo, Ricardo Colomo-Palacios, Juan Miguel Gomez-Berbis, Myriam Mencke
Pages: 256 - 266
This paper presents an architecture which applies document similarity measures to the documentation produced during the phases of software development in order to generate recommendations of process and people metrics for similar projects. The application makes a judgment of similarity of the Service...

8. Neural Networks Simulation of the Transport of Contaminants in Groundwater

Enrico Zio
Pages: 267 - 276
The performance assessment of an engineered solution for the disposal of radioactive wastes is based on mathematical models of the disposal system response to predefined accidental scenarios, within a probabilistic approach to account for the involved uncertainties. As the most significant potential...

9. A Hybrid Model for Forecasting Sales in Turkish Paint Industry

Alp Ustundag
Pages: 277 - 287
Sales forecasting is important for facilitating effective and efficient allocation of scarce resources. However, how to best model and forecast sales has been a long-standing issue. There is no best forecasting method that is applicable in all circumstances. Therefore, confidence in the accuracy of sales...

11. Re-editing and Censoring of Detectors in Negative Selection Algorithm

X.Z. Gao, S. J. Ovaska, X. Wang
Pages: 298 - 311
The Negative Selection Algorithm (NSA) is a kind of novelty detection method inspired by the biological self/nonself discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the NSA. The detectors that fail to pass the negative selection phase...