Comparison of Evolutionary Methods for Smoother Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @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