郑州大学计算智能实验室

Computational Intelligence Laboratory

Call for Participants in IEEE CEC 2021 (Special Session & Competition)

Call for Participants

SS-37 Multimodal Multiobjective Path Planning Optimization

Special Session & Competition in IEEE Congress on Evolutionary Computation 2021

https://cec2021.mini.pw.edu.pl/en

 

Aim

In multiobjective optimization problems, there may exist two or more global or local Pareto optimal sets (PSs) and some of them may correspond to the same Pareto Front (PF). These problems are defined as multimodal multiobjective optimization problems (MMOPs).

It is necessary to study multimodal multi-objective optimization. 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.

Path planning problem is a typical multimodal multiobjective optimization problem. However, no MMO path planning benchmark problems have been released in public.

In this special session, multiobjective path planning problems with multiple PSs are provided.

This special session is devoted to the novel approaches, algorithms and techniques for solving multimodal multiobjective path planning optimization problems.

 

 

Scope

Topics of interest may cover, but are not limited to

 

- Evolutionary algorithms for multimodal multiobjective path planning optimization problem

- Evolutionary algorithms for multimodal multiobjective optimization

- Hybrid algorithms for multimodal multiobjective path planning optimization problem

- Adaptable algorithms for multimodal multiobjective path planning optimization problem

- Surrogate techniques for multimodal multiobjective path planning optimization problem

- Machine learning methods helping to solvemultimodal multiobjective path planning optimization problem

- Memetic computing for multimodal multiobjective path planning optimization problem

- Niching techniques for multimodal multiobjective path planning optimization problem

- Parallel computing for multimodal multiobjective path planning optimization problem

- Design methods for multimodal multiobjective optimization test problems

- Decision making in multimodal multiobjective optimization

- Related theory analysis

- Related Applications

 

 

Submissions (Results&Paper)

Results

Please test your algorithm on the test problems in "CEC2021 MMOPP". The results, codes and the description for your algorithm and results need to be submitted to  zzuyuecaitong@163.com. Please format your results according to the Technical Report "J.J. Liang, C.T. Yue, G. P. Li, B. Y. Qu, P. N. Suganthan,  and K. J. Yu, “Problem Definitions and Evaluation Criteria for the CEC 2021 on Multimodal Multiobjective Path Planning Optimization”. We will present an overall analysis and comparison based on these results.

 

Paper

Authors must strictly follow the manuscript preparation instructions to be given at:  https://cec2021.mini.pw.edu.pl/en  
When submitting papers, please make sure that you select “SS-37 Multimodal Multiobjective Path Planning Optimization” as the "Main Research Topic" for all papers making use of these benchmarks.
We will follow the extended deadlines as determined by CEC 2021. If you require extra time, you can email us ( zzuyuecaitong@163.com).

 

Accepted papers will be included and published in the conference proceedings.

Submission Deadline: 31 January 2021  21 February 2021

Paper Acceptance Notification Date: 22 March 2021

 

 

 

 

 

 

Submissions

Paper and Results Submissions

Submission Deadline: 31 January 2021   21 February 2021

Paper Acceptance Notification Date: 22 March 2021

 

 

 

 

Organizers 

 

Jing Liang

Zhengzhou University, Zhengzhou, China

Email: liangjing@zzu.edu.cn

 

 

Caitong Yue

Zhengzhou University, Zhengzhou, China

Email: yuecaitong@zzu.edu.cn

 

 

Gongping Li

Zhengzhou University, Zhengzhou, China

Email: ligongping361@163.com

 

Boyang Qu

Zhongyuan University of Technology, Zhengzhou, China

Email: qby1984@hotmail.com


P. N. Suganthan

Nanyang Technological University, Singapore

Email: epnsugan@ntu.edu.sg

 

Kunjie Yu

Zhengzhou University, Zhengzhou, China

Email: yukunjie@zzu.edu.cn