ADVANCED INTELLIGENT COMPUTING THEORIES AND APPLICATIONS. WITH ASPECTS OF ARTIFICIAL INTELLIGENCE: FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT . / LECTURE NOTES IN ARTIFICIAL INTELLIGENCE)

The International Conference on Intelligent Computing (ICIC) was formed to p- vide an annual forum dedicated to the emerging and challenging topics in artificial intelligence, machine learning, bioinformatics, and computational biology, etc. It aims to bring together researchers and practitioners from both academia and ind- try to share ideas, problems and solutions related to the multifaceted aspects of intelligent computing. ICIC 2008, held in Shanghai, China, September 15–18, 2008, constituted the 4th International Conference on Intelligent Computing. It built upon the success of ICIC 2007, ICIC 2006 and ICIC 2005 held in Qingdao, Kunming and Hefei, China, 2007, 2006 and 2005, respectively. This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Emerging Intelligent Computing Technology and Applications”. Papers focusing on this theme were solicited, addressing theories, methodologies, and applications in science and technology.

This book - in conjunction with the two volumes CCIS 0015 and LNCS 5226 - constitutes the refereed proceedings of the 4th International Conference on Intelligent Computing, ICIC 2008, held in Shanghai, China, in September 2008.

The 136 revised full papers were carefully reviewed and selected from 2336 submissions. The papers address all current issues in the field of intelligent computing technology, including neural networks, evolutionary computing and genetic algorithms, fuzzy systems and soft computing, particle swarm optimization and niche technology, supervised and semi-supervised learning, unsupervised and reinforcement learning, fine feature extraction methods, combinatorial and numerical optimization, neural computing and optimization, case based reasoning and autonomy-oriented computing, as well as artificial life and artificial immune systems. The volume is rounded off by three special sessions on computational analysis and data mining in biological systems, on data mining and fusion in bioinformatics, and on intelligent pattern recognition and understanding in image processing.