TY  - CHAP
AU  - Alberto Ochoa
AU  - Arturo Hernández
AU  - Laura Cruz
AU  - Julio Ponce
AU  - Fernando Montes
AU  - Liang Li
AU  - Lenka Janacek
ED  - Peter Korosec
Y1  - 2010-02-01
PY  - 2010
T1  - Artificial Societies and Social Simulation Using Ant Colony, Particle Swarm Optimization and Cultural Algorithms
N2  - Evolutionary computation has been widely used in computer science for decades. Even
though it started as far back as the 1960s with simulated evolution, the subject is still
evolving. During this time, new metaheuristic optimization approaches, like evolutionary
algorithms, genetic algorithms, swarm intelligence, etc., were being developed and new
fields of usage in artificial intelligence, machine learning, combinatorial and numerical
optimization, etc., were being explored. However, even with so much work done, novel
research into new techniques and new areas of usage is far from over. This book presents
some new theoretical as well as practical aspects of evolutionary computation. This book will be of great value to undergraduates, graduate students, researchers in
computer science, and anyone else with an interest in learning about the latest
developments in evolutionary computation.
BT  - New Achievements in Evolutionary Computation
SP  - Ch. 13
UR  - https://doi.org/10.5772/8058
DO  - 10.5772/8058
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-05-10
ER  -