[alife] Call for Chapters: 'Agent-Based Evolutionary Search'

[C. Titus Brown]

Call for Chapters

Springer Book: 'Agent-Based Evolutionary Search'

 

 

Over the last two decades, there has been an increase in the acceptance
of Evolutionary Computation (EC) as a tool for solving complex real life
decision making problems. EC does not require any pre-knowledge of the
search space, and the use of EC can eliminate the need to satisfy
necessary mathematical properties of functions and variables as required
to apply conventional search processes. EC can be designed for parallel
processing which is crucial to solve large problems within an affordable
computational time. 

 

A multi-agent system (MAS) is a paradigm of solving complex problems in
which multiple interacting agents equipped with intelligent capabilities
collectively solve the problem. Recently, multi-agent systems are
increasingly being used for solving intractable problems. Agents of MAS
have some of the basic properties such as autonomy, local view,
sociability (communications), learning and adaptive ability.

 

The performances of EA's have been enhanced by integrating features of
MAS as evident in the literature. The agents can bring many interesting
features in EAs which are beyond the scope of traditional evolutionary
process and learning. 

 

The aim of this volume is to reflect recent advances in the field, and
increase the awareness of the computing community on the effectiveness
of this technology. In particular, we endeavour to demonstrate the
current state-of-the-art in the theory and practice of Agent based
Evolutionary Search (AES). Topics of interest include (but are not
limited to):

 

*               Novel frameworks of AESs,

*               Analytical and/or theoretical studies that enhance our
understanding of AESs,

*               Design of multi-agent architecture within AESs,

*               Design of agent communication and learning strategies,

*               Performance analysis for various agent types,
architectures, cooperation, communication and learning within AESs,

*               Convergence and complexity analysis of AESs,

*               AESs for global, constrained, dynamic and large scale
optimization,

*               Multi-objective AESs, and

*               Real-world applications of AESs.

 

Editors: Dr. Ruhul Sarker and Dr. Tapabrata Ray 

 

For correspondence & further information:

*               Dr Ruhul Sarker (r.sarker at adfa.edu.au)

*               Dr Tapabrata Ray (t.ray at adfa.edu.au)

 

Important Dates:

*               November 30, 2008:     Expression of interests

*               February 15, 2009:     Full chapter due

*               May 30, 2009:          Review completion

*               July 30, 2009:         Finalising acceptance/rejection

*               September 30, 2009:    Camera ready Chapter due

*               December 15, 2009:     Complete book submission to
Springer