Special Session & Competition on Real-Parameter Single Objective Optimization at CEC-2013, Cancun, Mexico 21-23 June 2013
If you face any difficulties, please inform me ( email@example.com ).
Call for papers
J. J. Liang, B-Y. Qu, P. N. Suganthan,
Alfredo G. Hernández-Díaz, "Problem
Definitions and Evaluation Criteria for the CEC 2013 Special Session and
Real-Parameter Optimization", Technical
University, Zhengzhou China and , January 2013.
andTechnical Report, Nanyang Technological University, Singapore
, January 2013.
To download, Matlab, C, JAVA, & Data files. please follow the link: http://web.mysites.ntu.edu.sg/epnsugan/PublicSite/Shared Documents/Forms/AllItems.aspx to CEC2013 folder.
The R-package is available from:
It can be useful for Linux, Mac, etc. For queries, please contact the maintainer:
It can be useful for Linux, Mac, etc. For queries, please contact the maintainer: Mauricio Zambrano-Bigiarini firstname.lastname@example.org
Comparison of Algorithms ( Prepared by Ilya Loshchilov , Thomas Stuetzle & Tianjun Liao )
Benchmark Results for a Simple
Hybrid Algorithm on the CEC 2013 Benchmark Set for Real parameter
Optimization [#1566] . . Tianjun Liao and Thomas Stuetzle
Universite Libre de Bruxelles (ULB), IRIDIA, Belgium
CMA-ES with Restarts for
Solving CEC 2013 Benchmark Problems [#1318] . Ilya Loshchilov Ecole
Polytechnique Federale de Lausanne, Laboratory of Intelligent Systems,
Dynamically updated Region
Based Memetic Algorithm for the 2013 CEC Special Session and
Competition on Real Parameter Single Objective Optimization [#1617] .
. Benjamin Lacroix, Daniel Molina and Francisco Herrera
Universidad de Granada, Spain; Universidad de Cadiz, Spain
Evaluating the performance of
SHADE on CEC 2013 benchmark problems [#1652] . . Ryoji Tanabe and Alex
Fukunaga The University of
A Genetic Algorithm for Solving the CEC’2013 Competition Problems on Real-Parameter Optimization [#1132] . Saber Elsayed, Ruhul Sarker and Daryl Essam UNSW at Canberra, Australia
Optimization for Solving the IEEE-CEC 2013 Competition Problems
available, as MVMO-SH_CEC2013)
(Codes-Results available, as MVMO-SH_CEC2013)
A Self-Adaptive Heterogeneous PSO for Real-Parameter Optimization [#1267] . Filipe Nepomuceno and Andries Engelbrecht, University of Pretoria, South Africa
Real Parameter Single Objective Optimization using Self-Adaptive Differential Evolution Algorithm with more Strategies [#1381] . Janez Brest, Borko Boskovic, Ales Zamuda, Iztok Fister and Efren Mezura-Montes University of Maribor, Slovenia; Universidad Veracruzana, Mexico
Structured Population Size
Reduction Differential Evolution with Multiple Mutation Strategies on
CEC 2013 Real Parameter Optimization [#1393] . . Ales Zamuda, Janez
Brest and Efren Mezura-Montes University of Maribor, Slovenia; University of
available, as )
(Codes-Results available, asSPSRDEMMS
Differential Evolution with Concurrent Fitness Based Local Search [#1476] . Ilpo Poikolainen and Ferrante Neri, University of Jyvaskyla, Finland
Evolution Applied to CEC 2013 Problems [#1110] . Josef Tvrdik and Radka
University of Ostrava, Czech Republic .
available, as CEC2013_b6e6rl)
(Codes-Results available, as CEC2013_b6e6rl)
Investigation of Self-adaptive
Differential Evolution on the CEC-2013 Single-Objective Continuous
Optimization Testbed [#1750] . . A. K. Qin, Xiaodong Li, Hong Pan and
Siyu Xia RMIT University,
Australia; Southeast University, China
Teaching and Learning based Differential Evoltuion with Self Adaptation for Real Parameter Optimization [#1732] . . Subhodip Biswas, Souvik Kundu, Swagatam Das and Athanasios Vasilakos Jadavpur University, India; Indian Statistical Institute, India; Kuwait University, Kuwait
A CMA-ES Super-fit Scheme for the Re-sampled Inheritance Search [#1093] . . Fabio Caraffini, Giovanni Iacca, Ferrante Neri, Lorenzo Picinali and Ernesto Mininno De Montfort University, United Kingdom; INCAS3, Netherlands; University of Jyvaskyla, Finland
The Parameter-Less Evolutionary Search for Real-Parameter Single Objective Optimization [#1159] Gregor Papa and Jurij Silc. . Jozef Stefan Institute, Slovenia
Differential Evolution on the CEC-2013 Single-Objective Continuous Optimization Testbed [#1733] A K. Qin and Xiaodong Li . . RMIT University, Australia
The Continuous Differential Ant-Stigmergy Algorithm Applied on Real-Parameter Single Objective Optimization Problems [#1238] . . Peter Korosec and Jurij Silc Jozef Stefan Institute, Slovenia
Adaptive Differential Evolution for Real Parameter Optimization
[#1285] . Leandro Coelho, Helon Ayala and Roberto Freire
Pontifical Catholic University of Parana - PUCPR, Brazil
available, as PVADE)
(Codes-Results available, as PVADE)
Super-fit Multicriteria Adaptive Differential Evolution [#1122] . . Fabio Caraffini, Ferrante Neri, Jixiang Cheng, Gexiang Zhang, Lorenzo Picinali, Giovanni Iacca and Ernesto Mininno De Montfort University, United Kingdom; University of Jyvaskyla, Finland; Southwest Jiaotong University, China; INCAS3, Netherlands
Differential Evolution with
Automatic Parameter Configuration for Solving the CEC2013 Competition
on Real-Parameter Optimization [#1148] . Saber Elsayed, Ruhul Sarker
and Tapabrata Ray UNSW at
Differential Evolution: Performances and Analyses [#1676] . . . . Nikhil Padhye, Pulkit Mittal and Kalyanmoy Deb MIT, United States of America; IIT K, India
Testing A Particle Swarm Optimization and Artificial Bee Colony Hybrid Algorithm on The CEC13 Benchmarks [#1502] . Mohammed El-Abd American University of Kuwait, Kuwait
Standard Particle Swarm Optimisation 2011 at CEC-2013: A baseline for future PSO improvements Mauricio Zambrano-Bigiarini, Maurice Clerc and Rodrigo Rojas Institute for Environment and Sustainability. Joint Research Centre, European Commission, Italy; Independent Consultant, France
When submitting, please make sure you select
"Real Parameter Single Objective Optimization" as the "Main Research
Paper Submission Deadline
We will follow the deadlines as determined by CEC
2013 which is now extended to March 2013 as the final - firm deadline.
Updated on 29th Jan 2013:
Considering the suggestions from the researchers, we updated our competition as follows:
1. Error value smaller than 10-8 will be taken as zero.
2. 50D is added in the competition. Considering the limited time, results of 10D and 30D problems are acceptable for the review submission. However, 50D should be included in the final version. Thus 28*3 (10D, 30D and 50D) files should be zipped and sent to the organizers after the final version of the paper is submitted.
3. Equations of novel composition functions are modified for ease of understanding.
4. Some bugs have been modified:
(1) Codes for problems 3 and 4 were inconsistent with the report. Problem 3 is bent_cigar while Problem 4 is discus_func. The report has been modified.
(2) For cf05, it is similar to cf04, not cf02. The report has been modified.
(3) For cf08, lamda_5=0.1. The report has been modified.
(4) Equations for Tosz, Functions 7, 14, 15, 17, 19, 21 are corrected in the report to be consistent with the code.
(5) In the code, "sphere_func(x,&fit[i],nx,&Os[i*nx],&Mr[i*nx*nx],1)" is modified to "sphere_func(x,&fit[i],nx,&Os[i*nx],&Mr[i*nx*nx],0)";
5. A mistake in the technical report
(page 35) is corrected:
"c) The complete computing time for the algorithm with 200000 evaluations of the same D dimensional benchmark function 3 is T2. "
Here "benchmark function 3" should be "benchmark function 14" (the same as b).
Problems 3,4,21,27,28 should be run again due to the changes effected on 29th of Jan.
For Linux Users:
Please change %xx in fscanf and fprintf and do not use "WINDOWS.H".
We thank Dr. Thomas Stuetzle for suggesting items 1 & 2, and Dr Janez Brest for his comment on Linux.
Updated on 15th February 2013:
We thank Dr. Thomas Stuetzle and Dr Tianjun Liao for suggesting to change codes used to compute time T0 so that C compilers will not be able to optimize and eliminate the for-loop. This change affects only T0, not the benchmark problems.