Special Session & Competitions on Real-Parameter Single Objective Optimization (3 Different Cases)
at CEC-2017, Donostia - San Sebastián, Spain, 5-8 June 2017
Organizers: P N Suganthan, Mostafa Z Ali, Guohua Wu, Rammohan
Mallipeddi, J J Liang, and B Y Qu.
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)
This round, we are introducing new problems for the single objective bound constrained and single objective constrained optimization benchmarking. Authors are asked to participate in each of the above separately, i.e. a single paper is expected to tackle only one class of the problems above.
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. are https://github.com/P-N-Suganthan
Papers Using CEC 2017
Bound Constrained Benchmark Set
ID |
Algorithm |
Paper Title |
|
1 |
17315 |
jSO (2nd) |
Single Objective Real-Parameter Optimization Algorithm jSO |
2 |
17321 |
MM_OED |
Multi-method based Orthogonal Experimental Design Algorithm for
Solving CEC2017 Competition Problems |
3 |
17322 |
IDEbestNsize |
Enhanced Individual-dependent Differential Evolution
with Population Size Adaptation |
4 |
17343 |
RB-IPOP-CMA-ES |
A Version of IPOP-CMA-ES Algorithm with Midpoint for CEC 2017 Single
Objective Bound Constrained Problems |
5 |
17051 |
LSHADE_SPACMA (4th) |
LSHADE with Semi-Parameter Adaptation Hybrid with CMA-ES
for Solving CEC 2017 Benchmark Problems |
6 |
17420 |
DES |
A
Differential Evolution Strategy |
7 |
17543 |
DYYPO |
Dynamic Yin-Yang Pair Optimization and its
Performance on Single Objective Real Parameter Problems of CEC 2017 |
8 |
17544 |
TLBO-FL |
Teaching Learning Based Optimization with Focused Learning and its
Performance on CEC2017 functions |
9 |
17447 |
PPSO |
Proactive Particles in Swarm Optimization: a
Settings-Free Algorithm for Real-Parameter Single Objective Optimization
Problems |
10 |
17260 |
MOS-SOCO2011/13 |
A comparison of three large-scale global optimizers on the CEC 2017
single objective real parameter numerical optimization benchmark |
11 |
17106 |
LSHADE-cnEpSin (3rd) |
Ensemble Sinusoidal Differential Covariance Matrix Adaptation
with Euclidean Neighborhood for Solving CEC2017 Benchmark Problems |
12 |
17411 |
EBOwithCMAR (1st) |
Improving the local search capability of Effective Butterfly Optimizer
using Covariance Matrix Adapted Retreat phase |
Papers Using CEC 2017 Constrained Benchmark Set
CAL-SHADE |
Ales
Zamuda. Adaptive Constraint Handling and Success History Differential
Evolution for CEC 2017 Constrained Real-Parameter Optimization, CEC 2017. |
LSHADE44
+ IDE |
Josef
Tvrdik and Radka Polakova.
A Simple Framework for Constrained Problems with Application of L-SHADE44 and
IDE, CEC 2017. |
LSHADE44 |
Radka Polakova. L-SHADE with
Competing Strategies Applied to Constrained Optimization, CEC 2017. |
Anupam
Trivedi, Krishnendu Sanyal,
Pranjal Verma and Dipti Srinivasan. A Unified
Differential Evolution Algorithm for Constrained Optimization Problems, CEC
2017. |
Paper Using CEC 2015
Expensive Benchmark Set
17621: Development
of a higher order cognitive optimization algorithm, by M R Tanweer,
S Sundaram, N Sundararajan
Paper Submission
Authors must strictly follow the manuscript preparation instructions: http://www.CEC2017.org/ (paper submission has opened)
When submitting, please make sure that you select "SS26" 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 CEC 2017.
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 ).
Revisions
1. Problem 2 in bound constrained set was changed (30th Nov).
2. Tech Report of the constrained competition is edited to reduce the numerical tables in the CEC paper (5th Dec).
3. Problem 2 in bound constrained competition has been removed due to numerical instability. Remaining 29 problems are numbered 1, 3, 4, 29, 30.