2015 IEEE Congress on Evolutionary Computation (CEC2015)

Special Session on Evolutionary Computation for Nonlinear Equation Systems

Aim

Nonlinear equation systems (NESs) frequently arise in many physical, electronic, and mechanical processes. Very often, a NES may contain multiple optimal solutions. Since all these optimal solutions are important for a given NES in the real-world applications, it is desirable to simultaneously locate them in a single run, such that the decision maker can select one final solution which matches at most his/her preference.

For solving NESs, several classical methods, such as Newton-type methods, have been proposed. However, these methods have some disadvantages in the sense that they are heavily dependent on the starting point of the iterative process, can easily get trapped in a local optimal solution, and require derivative information. Moreover, these methods aim at locating just one optimal solution rather than multiple optimal solutions when solving NESs. During the past decade, evolutionary algorithms (EAs) have been widely applied to solve NESs due to the fact that EAs are insensitive to the shapes of the objective function and easy to implement.

Solving NESs by EAs is a very important area in the community of evolutionary computation, which is challenging and of practical interest. However, systematic work in this area is still very limited. This is the first special issue in the IEEE CEC to facilitate the development of EAs for NESs.


Scope

The topics of this special issue include (but are not limited to):


Paper submission

The submitted papers should follow the format introduced in website of IEEE CEC 2015


References

[1]C. Grosan and A. Abraham, "A new approach for solving nonlinear equation systems," IEEE Transactions on Systems Man and Cybernetics - Part A, vol. 38, no. 3, pp. 698-714, 2008.

[2]W. Song, Y. Wang, H.-X. Li, and Z. Cai, "Locating multiple optimal solutions of nonlinear equation systems based on multiobjective optimization," IEEE Transactions on Evolutionary Computation, in press. DOI: 10.1109/TEVC.2014.2336865


Special Session Organizers

Associate Professor: Yong Wang
School of Information Science and Engineering
Central South University, China.
Email: ywang@csu.edu.cn
http://ist.csu.edu.cn/YongWang.htm


Professor: Han-Xiong Li
Department of Systems Engineering and Engineering Management
City University of Hong Kong, Hong Kong.
Email: mehxli@cityu.edu.hk
http://www.cityu.edu.hk/seem/mehxli/


Professor: Qingfu Zhang
Department of Computer Science
City University of Hong Kong, Hong Kong.
Email: qingfu.zhang@cityu.edu.hk
http://www.cs.cityu.edu.hk/~qzhang/index.html


Dr. Crina Grosan
Department of Computer Science
Brunel University, UK.
Email: crina.grosan@brunel.ac.uk
http://people.brunel.ac.uk/~cssrcdg/