- author = "Kotaro Hirasawa and M. Okubo and J. Hu and J. Murata",
- title = "Comparison between Genetic Network Programming (GNP) and Genetic Programming (GP)",
- booktitle = "Proceedings of the 2001 Congress on Evolutionary Computation CEC2001",
- year = "2001",
- pages = "1276--1282",
- address = "COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "27-30 " # may,
- organisation = "IEEE Neural Network Council (NNC), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, genetic programming Network, Evolution, Ant behaviors, ant behaviour simulation, bloat, complicated programs, evolutionary computation, evolutionary method, genetic algorithm, genome, real world problems, searching efficiency, string structure, tree structure, behavioural sciences computing, biology computing, tree data structures, trees (mathematics), zoology,",
- ISBN = "0-7803-6658-1",
-
DOI = "
doi:10.1109/CEC.2001.934337",
- abstract = "Recently, many methods of evolutionary computation such as genetic algorithm (GA) and genetic programming (GP) have been developed as a basic tool for modelling and optimising of complex systems. Generally speaking, GA has the genome of a string structure, while the genome in GP is the tree structure. Therefore, GP is suitable for constructing complicated programs, which can be applied to many real world problems. However, GP might sometimes be difficult to search for a solution because of its bloat. A novel evolutionary method named Genetic Network Programming (GNP), whose genome is a network structure is proposed to overcome the low searching efficiency of GP and is applied to the problem of the evolution of ant behaviour in order to study the effectiveness of GNP. In addition, the comparison of the performances between GNP and GP is carried out in simulations on ant behaviors",
-
notes = "CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = .
GNP directed graph: judgement, time delay, processing nodes. Network genome. subnet swapping crossover. Ant pheremone square 32 by 32 grid world, food gathering.",
