Special Session & Competitions on Real-Parameter Single Objective Optimization (3 Different Cases)

at CEC-2018, Rio de Janeiro, Brazil, 8-13 July 2018

Organizers: P N Suganthan, Mostafa Z Ali, Guohua Wu, Rammohan Mallipeddi

https://github.com/P-N-Suganthan

If you face any difficulties, please inform me ( epnsugan@ntu.edu.sg  ).

1.    N. H. Awad, M. Z. Ali, J. J. Liang, B. Y. Qu and P. N. Suganthan, "Problem Definitions and Evaluation Criteria for the CEC 2017 Special Session and Competition on Single Objective Bound Constrained Real-Parameter Numerical Optimization,"  Technical Report, Nanyang Technological University, Singapore, November 2016. (bound constrained case)

2.    Guohua Wu, R. Mallipeddi, P. N. Suganthan, "Problem Definitions and Evaluation Criteria for the CEC 2017 Competition and Special Session on Constrained Single Objective Real-Parameter Optimization", Technical Report, Nanyang Technological University, Singapore, November 2016. (Single objective, constrained case)

3.      Q. Chen, B. Liu,  Q. Zhang, J. J. Liang, P. N. Suganthan, B. Y. Qu, "Problem Definition and Evaluation Criteria for CEC 2015 Special Session and Competition on Bound Constrained Single-Objective Computationally Expensive Numerical Optimization", Technical Report, Computational Intelligence Laboratory, Zhengzhou University, Zhengzhou, China and  Technical Report, Nanyang Technological University, Singapore, Nov 2014. (Computationally expensive case)

Software and Data: Click on the title of the technical report in #1 to #3 to obtain the codes.

 

Comparative Analysis, codes of some methods, some detailed results, etc.: https://github.com/P-N-Suganthan

 

 

Papers in Bound Constrained Competition

Algorithm

Paper Title

MVMO-PH

Hybrid Population Based MVMO for Solving

CEC 2018 Test Bed of Single-Objective Problems

LSHADE-RSP

#2

LSHADE Algorithm with Rank-Based Selective Pressure Strategy for Solving CEC 2017 Benchmark Problems

HS-ES

#1

Hybrid Sampling Evolution Strategy for Solving

Single Objective Bound Constrained Problems

IUMOEAs-II

Improved United Multi-Operator algorithm for

Solving Optimization Problems

ELSHADE_SPACMA

#3

Enhanced LSHADE-SPACMA algorithm for solving IEE CEC'2018 benchmark problems

 

Papers in Constrained Competition

MA-ES

#2

Michael Hellwig and Hans-Georg Beyer. A Matrix Adaptation Evolution Strategy for Constrained Real-parameter Optimization

IUDE

#1

Anupam Trivedi, Dipti Srinivasan and Nimagna Biswas. An Improved Unified Differential Evolution Algorithm for Constrained Optimization Problems

LSHADE_IEpsilon

#3

Zhun Fan et. Al. LSHADE with an Improved ε Constraint-handling Method for Solving Constrained Single-objective Optimization Problems

 

Paper in Expensive Optimization Using 2015 problems

José L. Rueda, István Erlich,  Hybrid Single Parent-Offspring MVMO for Solving CEC2018 Computationally Expensive Problems.

 

 

 

Paper Submission

Authors must strictly follow the manuscript preparation instructions: http://www.ecomp.poli.br/~wcci2018/submissions/  (paper submission will open in the near future)

 

When submitting, please make sure that you select "SS34" as the "Main Research Topic" for all papers making use of these benchmarks.

 

Paper Submission Deadline

We will follow the extended deadlines as determined by WCCI 2018. If you require extra time, you can email us ( epnsugan@ntu.edu.sg  ).

 

Request for Feedback

If you have suggestions to improve the technical report or if you find any potential bug in the codes, please inform us ( epnsugan@ntu.edu.sg  ).