[Comp-neuro] Call for Chapters: Variants of Evolutionary Algorithms for Real-World Applications

Thomas Weise tweise at gmx.de
Mon Oct 19 16:10:49 CEST 2009

Apologies for multiple posting. Please distribute this CfC to your
colleagues and further interested people.


Variants of Evolutionary Algorithms for Real-World Applications
A volume edited by Raymond Chiong, Thomas Weise and Zbigniew Michalewicz

Proposals Submission Deadline: 15 DECEMBER 2009
Full Chapters Due: 15 FEBRUARY 2010
Website: http://www.it-weise.de/book/
To be published by Springer-Verlag in 2011

Book Objectives & Mission:

Started as a mere academic curiosity, Evolutionary Algorithms (EAs)
first came into sight back in the 1960s. However, it was not until the
1980s that the research on EAs became less theoretical and more
practical. As a manifestation of population-based, stochastic search
algorithms that mimic natural evolution, EAs use genetic operators
such as crossover and mutation for the search process to generate new
solutions through a repeated application of variation and selection.

Due to their ability to find satisfactory solutions for conventionally
hard and dynamic problems within acceptable time, EAs have attracted
interests from many researchers and practitioners in recent years. The
general-purpose, black-box character of EAs makes them suitable for a
wide range of real-world applications. Standard EAs such as Genetic
Algorithms, Evolutionary Programming, Evolution Strategies and Genetic
Programming are becoming more and more accepted in the industry and
commercial sectors. With the dramatic increase in computational power
today, an incredible diversification of new application areas of these
techniques can be observed. At the same time, new variants and classes
of evolutionary optimisation methods such as Differential Evolution,
Estimation of Distribution Algorithms, Cultural Algorithms,
Grammatical Evolution, Gene Expression Programming, Cooperative and
Competitive Co-evolutionary Algorithms, Multi-objective Evolutionary
Algorithms, to name just a few, emerged.

When systems utilising EAs reach production stage, off-the-shelf
versions of these methods are regularly replaced by dedicated
algorithm variants. These specialised EAs often use tailored
reproduction operators, search spaces differing significantly from the
well-known binary or tree-based encodings, non-trivial genotype-
phenotype mappings, or are hybridised with other optimisation
algorithms. This book aims to promote the practitioner's view on EAs
by giving a comprehensive discussion of how EAs can be adapted to the
requirements of various applications in the real-world domains. It
will pool knowledge and experience on how EAs can be exploited to
solve a wide range of problems in diverse fields such as scheduling,
manufacturing, logistics, space allocation, stock cutting, anomaly
detection, engineering design, software testing, bioinformatics and
data mining, among others. The main focus will be on applications
which are actually delivered and integrated in some industrial or
real-world settings.

Recommended topics include, but are not limited to, the following:

  + Methods (variants of):
    - Genetic Algorithms
    - Genetic Programming
    - Evolution Strategies
    - Evolutionary Programming
    - Differential Evolution
    - Estimation of Distribution Algorithms
    - Co-evolutionary Algorithms
    - Multi-objective Evolutionary Algorithms
    - Memetic Algorithms

  + Applications:
    - Planning, Scheduling and Timetabling
    - Space Allocation, Bin Packing and Stock Cutting
    - Logistics and Transportation
    - Computer Networks and Telecommunications
    - Computer Security, Privacy and Anomaly Detection
    - (Computer) System Configuration and Management
    - Software Testing and Software Engineering
    - Hardware Design and Testing, Circuit Layout, Circuit Synthesis
    - Engineering Design and (Industrial) Design Optimisation
    - Data Mining, Customer Decision Prediction
    - Expert Systems
    - Medicine, Diagnosis
    - Chemistry
    - Biology, Molecular Biology, Genetics, Bioinformatics
    - Business and Financial Applications, Fraud Detection

Submission Procedure:

Researchers and practitioners are invited to submit on or before
December 15, 2009 a 2-3 pages proposal to tweise at gmx.de (cc.
rchiong at swin.edu.au) clearly explaining the mission and concerns of
the proposed chapter. Authors of accepted proposals will be notified
between 2 to 3 weeks time about the status of their proposals. Full
chapters are expected to be submitted by February 15, 2010. All
submitted chapters will be reviewed by at least three reviewers and
the final decision of acceptance or rejection will be based on their

Manuscript Preparation:

The full chapters must be prepared according to Springer's style guide
for contributed books and conform to additional instructions provided
at http://www.it-weise.de/book/style.zip. Manuscript preparation in
LaTeX is strongly recommended. Works based on previously published
materials must be substantially extended.

Important Dates:

Deadline for chapter proposals                      15 December 2009
Deadline for full chapters                          15 February 2010
Notification of acceptance/rejection of chapters    15 May 2010
Deadline for submission of final chapters           15 June 2010
Publication of book                                 First half of 2011

All inquiries can be forwarded to Dr.-Ing. Thomas Weise via e-mail at
tweise at gmx.de.

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