Objectives
In many real-world applications, most existing EAs' performance deteriorates as the size of problem increases (e.g. a single objective problem with large number of decision variables). The reasons appear to be two-fold. First, complexity of the problem usually increases with the size of problem. A previously successful search strategy may no longer be capable of finding the optimal solution. Second, the solution space of the problem becomes larger and larger when the problem size increases, which requires a more efficient search strategy to explore all the promising regions in this much larger solution space. Hence, new evolutionary algorithms for large scale optimization problems are of high importance.

The objectives of this task force are:


Anticipated interests
Evolutionary computation for large scale optimization is an inter-disciplinary topic that is closely related to parallelization of EAs, coevolution, EC assisted with meta-models, etc. Specifically, the anticipated interest of the proposed task force includes:


Proposed activities


News & events
  1. Special Issue of Information Sciences Journal (ISJ) on "Nature-Inspired Algorithms for Large Scale Global Optimization", September 2015.
  2. CEC'2015 Tutorial "Decomposition and Cooperative Coevolution Techniques for Large Scale Global Optimization", May 25, 2015.
  3. CEC'2015 Special Session/Competition on Large Scale Global Optimization, May 25 - 28, 2015.
  4. MIDAS - a useful tool for comparing LSGO algorithms (in an automated way).
  5. GECCO'2014 Tutorial "Decomposition and Cooperative Coevolution Techniques for Large Scale Global Optimization".
  6. CEC'2014 Special Session on Large Scale Global Optimization, July 5 - 11, 2014.
  7. CEC'2013 Special Session and Competition on Large Scale Global Optimization, June 20 - 23, 2013.
  8. CEC'2010 Special Session and Competition on Large Scale Global Optimization, July 18-23, 2010.
  9. Special Issue in Soft Computing Journal on Large Scale Optimization, submission deadline: February 28, 2010.
  10. CEC'2008 Special Session and Competition on Large Scale Global Optimization, June 1-6, 2008.
  11. Website for this Task Force was Launched, November 7, 2007.


Chair

Daniel Molina (Chair)
Department of Computer Engineering,
University of Cadiz, Cadiz 1103, Spain

Xiaodong Li (Vice chair; Chair from 2012 - 2015)
School of Computer Science and Information Technology
RMIT University, Melbourne, Australia.

P. N. Suganthan (Vice chair)
School of Electrical and Electronic Engineering
Nanyang Technological University, Singapore


Members

Ke Tang (University of Science and Technology of China, China) (Founding chair)
Xin Yao (University of Birmingham, U.K.)
Ferrante Neri (University of Jyväskylä, Finland)
Janez Brest ( University of Maribor, Slovenia)
Swagatam Das (Indian Statistical Institute, India)
Kai Qin (University of Waterloo, Canada)
Manuel Lozano (University of Granada, Spain)
Zhenyu Yang (National University of Defense Technology, China)
Yew-soon Ong (Nanyang Technological University, Singapore)
Antonio LaTorre (Universidad Politécnica de Madrid, Spain)
Yew-soon Ong (Nanyang Technological University, Singapore)
Thomas Stützle (Université Libre de Bruxelles, Belgium)
Bin Li (University of Science and Technology of China, China)
Thomas Bäck (Leiden University, Netherlands)
Anikó Ekárt (Aston University, U.K.)
Maoguo Gong (Xidian University, China)
Yuping Wang (Xidian University, China)
Hui Li (Xi'an Jiaotong University, China)
Yi Mei (Victoria University of Wellington, New Zealand)
Mohammad Nabi Omidvar (University of Birmingham, UK)


Contact us
If you have any suggestions for this task force, please contact: Xiaodong Li: xiaodong.li@rmit.edu.au