The International Journal of Computational Intelligence Research (IJCIR) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting edge research related to computational intelligence and its applications. IJCIR invites authors to submit their original and unpublished work that communicates current research on computational intelligence both the theoretical and methodological aspects, as well as various applications in real world problems from science, technology, business or commerce.
Online submission of Paper: Submitted papers must be in English and should not have been published elsewhere or being currently under consideration by any other journal. Authors should submit the electronic version of their papers in postscript or PDF formats via the journal web site: http://ijcir.ujn.edu.cn
Indexing and Abstracting: The IJCIR is Abstracted and Indexed in ACM Computing Reviews, ACM Guide to Computing Literature, DBLP.
Frequency: The four issues per year.
International Journal of Computational Intelligence Research (IJCIR)
Volume 2, Number 2 (2006)
CONTENTS
1. Optimised Coverage of Non-self with Evolved Lymphocytes in an Artificial Immune System
A.J. Graaff and A.P. Engelbrecht
pp. 127-150
2. Population-Based Heuristics for Hard Permutational Optimization Problems
Wojciech Boÿzejko and Mieczys³aw Wodecki
pp. 151-158
3. Using a Self Organizing Feature Map for Extracting Representative Web Pages from a Web Site
Sebasti´an A. R´ýos, Juan D. Vel´asquez, Hiroshi Yasuda and Terumasa Aoki
pp. 159-167
4. Evolutionary Algorithm as a Tool for Advanced Designing of Diesel Engines
Teresa Donateo, Domenico Laforgia, Giovanni Aloisio and Silvia Mocavero
pp. 169-180
5. A Dynamic Distributed Double Guided Genetic Algorithm for Optimization and Constraint Reasoning
Sadok Bouamama and Khaled Ghedira
pp. 181-190
6. A City Guide Agent Creating and Adapting Individual Sightseeing Tours Based on Field Trial Results
Ronny Kramer, Marko Modsching and Klaus ten Hagen
pp. 191-206
7. A New Algorithm for Sequential Minor Component Analysis
Dezhong Peng and Zhang Yi
pp. 207-215
