Special Session Organizers

Ferrante Neri
University of  Jyväskylä,  Finland
Email:
neferran@cc.jyu.fi

Yew Soon Ong
Nanyang Technological University
, Singapore

E-mail:
asysong@ntu.edu.sg

Hisao Ishibuchi
Osaka Prefecture
University
, Japan

E-mail:hisaoi@ie.osakafu-u.ac.jp

Meng Hiot Lim
Nanyang Technological
University
, Singapore

Email:
emhlim@ntu.edu.sg

Scientific Program Committee

Ms. Dalila Boughaci
Université des Sciences et de la Technologie, Algeria

Dr. Jurgen Branke
University of Karlsruhe, Germany

Prof. Ernesto Costa
Universidade de Coimbra, Portugal 

Dr. Jonhatan Garibaldi
University of Nottingham, UK

Dr. Steven Gustafson
GE Global Research
Niskayuna,USA

Ms. Anna Kononova
University of Leeds, UK

Dr. Natalio Krasnogor
University of Nottingham, UK

Dr. Timo Mantere
University of Vaasa, Finland

Dr. Peter Merz
Technische Universität Kaiserslautern
Fachbereich Informatik, Kaiserslautern, Germany

Dr. Pablo Moscato
University of Newcastle, Australia

Dr. William Rand
Northwestern Institute on Complex Systems, USA

Dr. James Smith
University of West England, UK

Mr. Ville Tirronen
University of Jyväskylä, Finland

Dr. Sengxian Yang
University of Leicester

 

 

Special Session on

Memetic Algorithms

 

2008 IEEE World Congress on Computational Intelligence

 

June 1 - 6, 2008, Hong Kong


Motivation 

One of the recent growing areas in Evolutionary Algorithm (EAs) research is Memetic Algorithms (MAs). MAs are population-based meta-heuristic search methods inspired by Darwinian principles of natural evolution and Dawkins notion of a meme defined as a unit of cultural evolution that is capable of local refinements. Recent studies on MAs have revealed their successes on a wide variety of real world problems. Particularly, they not only converge to high quality solutions, but also search more efficiently than their conventional counterparts. In diverse contexts, MAs are also commonly known as hybrid EAs, Baldwinian EAs, Lamarkian EAs, cultural algorithms and genetic local search.

 

Topics 

The aim of this special session is to reflect the most recent advances in the field, and increase the awareness of the computing community at large on this effective technology. In particular, we endeavor to demonstrate the current state-of-the-art in the theory and practice of MAs. Topics of interests include (but are not limited to):

  • Analytical and/or theoretical studies that enhance our understanding on the behaviors of MAs,
  • Using multiple memes or local searchers or exact methods,
  • Adaptive MAs (e.g.,  meta-Lamarckian and meta-Baldwinian),
  • Multi-objective MAs,
  • Asymptotic global convergence analyses and/or complexity analyses of MAs,
  • MAs for discrete, continuous and dynamic optimization problems,
  • Surrogate-assisted MAs or MAs using approximation methods,
  • MA methodologies for computationally expensive optimization problems,
  • Knowledge incorporation in MAs,
  • Real-world applications of MAs.

 

Paper Submission

 Manuscripts should be prepared according to the standard format of regular papers specified in WCCI 2008 and be restricted to a maximum of 8 pages. Paper submission is strictly only PDF format and online through the regular WCCI 2008 submission website. Special session papers will be treated in the same way as regular papers and included in the conference proceedings.


Important Dates
Paper Submission:
December 1, 2007 Deadline Extended: December 15, 2007
Decision Notification:
February 1, 2008
Camera-ready Submission:
March 1, 2008

IEEE CIS Task Force on Memetic Computing

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