Call for Papers (Competition)
Multimodal Multiobjective optimization (NO. CEC-01)
Competition in IEEE Congress on Evolutionary Computation 2019
http://www.cec2019.org/
Organized by Jing Liang (liangjing@zzu.edu.cn), Boyang Qu and Dunwei Gong
Website: http://www5.zzu.edu.cn/ecilab/info/1036/1163.htm
Scope and Topics
In multiobjective optimization problems, there may exist two or more distinct Pareto optimal sets (PSs) corresponding to the same Pareto Front (PF). These problems are defined as multimodal multiobjective optimization problems (MMOPs). Arguably, finding one of these multiple PSs may be sufficient to obtain an acceptable solution for some problems. However, failing to identify more than one of the PSs may prevent the decision maker from considering solution options that could bring about improved performance.
The aim of this special session is to promote the research on MMO and hence motivate researchers to formulate real-world practical problems. Given that the study of multimodal multiobjective optimization (MMO) is still in its emerging stages, although many real-word applications are likely to be amenable to treatment as a MMOP, to date the researchers have ignored such formulations.
This special session is devoted to the novel approaches, algorithms and techniques for solving MMOPs. The main topics of the special session are:
Evolutionary algorithms for multimodal multiobjective optimization
Hybrid algorithms for multimodal multiobjective optimization
Adaptable algorithms for multimodal multiobjective optimization
Surrogate techniques for multimodal multiobjective optimization
Machine learning methods helping to solve multimodal multiobjective optimization problems
Memetic computing for multimodal multiobjective optimization
Niching techniques for multimodal multiobjective optimization
Parallel computing for multimodal multiobjective optimization
Design methods for multimodal multiobjective optimization test problems
Decision making in multimodal multiobjective optimization
Related theory analysis
Applications
......
Submission instructions
The results, codes and the description for your algorithm and results need to be submitted to liangjing@zzu.edu.cn. Please format your results according to the Technical Report "J.J. Liang, B. Y. Qu, D. W. Gong and C.T. Yue, Problem definitions and evaluation criteria for the CEC special session on multimodal multiobjective optimization".
Submission deadline
30th April 2019, 23:59 (GMT)