
Ant Colony Optimization
Methods and Applications
Avi Ostfeld(Editor)
In Tech (Publisher)
Will be published approx. on 4. February 2011
Book
Hardback
354 pages
978-953-307-157-2 (ISBN)
Description
Ants communicate information by leaving pheromone tracks. A moving ant leaves, in varying quantities, some pheromone on the ground to mark its way. While an isolated ant moves essentially at random, an ant encountering a previously laid trail is able to detect it and decide with high probability to follow it, thus reinforcing the track with its own pheromone. The collective behavior that emerges is thus a positive feedback: where the more the ants following a track, the more attractive that track becomes for being followed; thus the probability with which an ant chooses a path increases with the number of ants that previously chose the same path. This elementary ant's behavior inspired the development of ant colony optimization by Marco Dorigo in 1992, constructing a meta-heuristic stochastic combinatorial computational methodology belonging to a family of related meta-heuristic methods such as simulated annealing, Tabu search and genetic algorithms. This book covers in twenty chapters state of the art methods and applications of utilizing ant colony optimization algorithms. New methods and theory such as multi colony ant algorithm based upon a new pheromone arithmetic crossover and a repulsive operator, new findings on ant colony convergence, and a diversity of engineering and science applications from transportation, water resources, electrical and computer science disciplines are presented.
More details
Language
English
Place of publication
Croatia
Target group
Professional and scholarly
Dimensions
Height: 266 mm
Width: 185 mm
Thickness: 29 mm
Weight
977 gr
ISBN-13
978-953-307-157-2 (9789533071572)
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Schweitzer Classification