Tags: biological systems, book chapters, computational methodologies, computational optimization, continuous variables, decision variables, evolutionary computation, future research, geas, genetic linkage, natural evolution, natural mechanisms, optimization methodologies, position papers, research directions, search methods, sophisticated mechanisms, state of art, submission guidelines, theoretical aspects,
CALL FOR BOOK CHAPTERS
Title: Linkage in Evolutionary Computation
(to be published by Springer)
Overview
Genetic and evolutionary algorithms (GEAs) are powerful search methods based on the paradigm of evolution
and widely applied to solve problems in many disciplines. In order to improve the performance and
applicability, numerous sophisticated mechanisms have been introduced and integrated into GEAs in the past
decades. One major category of these enhancing mechanisms is the concept of linkage, which models the
relation between the decision variables with the genetic linkage observed in biological systems, and linkage
learning techniques. Linkage learning connects the computational optimization methodologies and the natural
evolution mechanisms. Not only can learning and adapting natural mechanisms enable us to design better
computational methodologies, but also the insight gained by observing and analyzing the algorithmic behavior
permits us to further understand biological systems, based on which GEAs are developed.
Scope
This edited volume aims at reviewing the state-of-art linkage learning techniques, exchanging ideas and
viewpoints on linkage, as well as discussing the future research directions. We invite researchers to submit
their original work related to, but not limited to, the following topics:
Linkage in biological systems and computational algorithms
Linkage for discrete/continuous variables
Linkage processing, handling, and learning techniques
Identification and utilization of linkage
Adaptation of representation and/or operators for linkage
Theoretical aspects of linkage
Applications of the linkage concept
Position papers
Real-world applications
Submission Guidelines
Manuscripts should be prepared according to the series book format provided by Springer, and the page limit
for each chapter is 30 pages. Prospective authors are invited to submit a one to two-page proposal describing
the topic of the chapter. The proposal should include the chapter organization, number of pages of the final
manuscript and contact authors. Please direct all correspondences and proposal submissions to one of the
editors.
Important Dates
Indication of Intention to Contribute: October 22, 2007
Submission of Manuscript: February 15, 2008
Submission of Revised Manuscript: March 20, 2008
Final Camera-ready Manuscript Submission: April 30, 2008
Editors
Ying-ping Chen Meng-Hiot Lim
Department of Computer Science Division of Circuits and Systems
National Chiao Tung University, Taiwan Nanyang Technological University, Singapore
Email: ypchen@cs.nctu.edu.tw Email: emhlim@ntu.edu.sg