Computational Intelligence Approaches to Multidisciplinary Applications

Computational intelligence (CI) approaches are a set of nature-inspired methods, that provides effective or feasible solutions to many multidisciplinary applications with or without analytical representation of the real-life problems. Compared with the traditional approaches, the CI approaches are more powerful so that they do not need the reformulation of the problem to search a non-linear and a non-differentiable space with real world conditions and need for massive parallelism. Another advantage of the CI is the flexibility of the fitness function formulation, which can be expressed as a proper function of the system’s output and suitable for multi-objective (MO) problems. Embedded with CI algorithms, the computational intelligence aided design provides expanded capability, which can mobilise computational resource, take advantage of multiple CI algorithms via information and communication technologies (ICT), reduce the computational costs in a wide range of diverse applications.

The special issue will include theoretical, numerical, and experimental contributions that describe original research from multidisciplinary areas, that address all aspects of innovative production processes, business informatics, sustainable systems, and CI approaches to the context as mentioned above. The aim is to establish a common understanding about the state of the field and draw a road map on where the research is heading, highlight the issues and discuss the possible solutions. It is also available to concerned review/regular articles that will support and stimulate the continuing efforts to understand the research and development of CI approaches to these fields, which provides a unique publication outlet for engineers, scientists and practitioners in both academia and industry.

Special applications with multi-functionality are also welcome, which may include (but not limited to): high-value manufacturing, bio-printing, intelligent system for healthcare, intelligent modelling for social science, economics and finance, energy utilisation in manufacturing, 3D printing technologies, etc.

Session Chairs

Prof Leo Chen, Professor, Dongguan University of Technology, chenyi@dgut.edu.cn

Prof Zhonglai Wang, Professor, University of Electronic Science and Technology of China, wzhonglai@uestc.edu.cn