New Book: Ant Colony Optimization

[Thomas Stuetzle]

The book "Ant Colony Optimization" by M. Dorigo and T. Stuetzle has
recently been published my MIT Press.

Contents:

1 From Real to Artificial Ants
2 The Ant Colony Optimization Metaheuristic
3 Ant Colony Optimization Algorithms for the Traveling Salesman Problem
4 Ant Colony Optimization Theory
5 Ant Colony Optimization for NP-Hard Problems
6 AntNet: An ACO Algorithm for Data Network Routing
7 Conclusions and Prospects for the Future


Short description:

The complex social behaviors of ants have been much studied by
science, and computer scientists are now finding that these behavior
patterns can provide models for solving difficult combinatorial
optimization problems. The attempt to develop algorithms inspired by
one aspect of ant behavior, the ability to find what computer
scientists would call shortest paths, has become the field of ant
colony optimization (ACO), the most successful and widely recognized
algorithmic technique based on ant behavior. This book presents an
overview of this rapidly growing field, from its theoretical inception
to practical applications, including descriptions of many available
ACO algorithms and their uses.

Information on the book can be found on the web site of the book:
http://mitpress.mit.edu/0262042193


Best regards,

      M. Dorigo and T. Stuetzle