Comparison of Evolutionary Methods for Smoother Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{hikage:1998:cemse,

• author = "Tomofumi Hikage and Hitoshi Hemmi and Katsunori Shimohara",
• title = "Comparison of Evolutionary Methods for Smoother Evolution",
• booktitle = "Proceedings of the Second International Conference on Evolvable Systems: From Biology to Hardware (ICES 98)",
• year = "1998",
• editor = "Moshe Sipper and Daniel Mange and Andres Perez-Uribe",
• volume = "1478",
• series = "LNCS",
• pages = "115--124",
• address = "Lausanne, Switzerland",
• publisher_address = "Berlin",
• month = "23-25 " # sep,
• publisher = "Springer Verlag",
• keywords = "genetic algorithms, genetic programming, HDL",
• ISBN = "3-540-64954-9",
• DOI = "doi:10.1007/BFb0057613",
• size = "8 pages",
• abstract = "Hardware evolution methodologies come into their own in the construction of real-time adaptive systems. The technological requirements for such systems are not only high-speed evolution, but also steady and smooth evolution. This paper shows that the Progressive Evolution Model (PEM) and Diploid chromosomes contribute toward satisfying these requirements in the hardware evolutionary system AdAM (Adaptive Architecture Methodology). Simulations of an artificial ant problem using four combinations of two wets of variables - PEM vs. non-PEM, and Diploid AdAM vs. Haploid AdAM - show that the Diploid-PEM combination overwhelms the others.",
• notes = "ICES98 Chromosome is parse-tree for SFL (HDL). Simulation. Dominace recessive tags in trees. Ant is _assumed_ to be able to solve problem entirely from its current sensor readings, ie no memory",

}

Genetic Programming entries for Tomofumi Hikage Hitoshi Hemmi Katsunori Shimohara

Citations