Second Call for Book Chapters: Variants of Evolutionary Algorithms for Real-World Applications

Second Call for Book Chapters: Variants of Evolutionary Algorithms for Real-World Applications

Post by Thomas Wei » Wed, 09 Dec 2009 19:43:33

---- Apologies for cross posting -----

Dear Colleagues,

This is a friendly reminder that the proposal submission deadline for
our edited volume "Variants of Evolutionary Algorithms for Real-World
Applications" is fast approaching. If you are interested, please
a 2-3 pages proposal to XXXX@XXXXX.COM (cc. XXXX@XXXXX.COM ) on or
before December 15, 2009. If you need a little more time beyond the
deadline, kindly get in touch with us too.

Best wishes,
Thomas Weise


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

Proposals Submission Deadline: 15 DECEMBER 2009
Full Chapters Due: 15 FEBRUARY 2010
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 (v