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Home > Evolutionary Computing: AISB Workshop, Brighton, U. K. , April 1 - 2, 1996. Selected Papers > Efficient Evolution Strategies for Exploration in mobile robotics
Evolutionary Computing: AISB Workshop, Brighton, U. K. , April 1 - 2, 1996. Selected Papers |
Terence C. Fogarty
Springer Berlin Heidelberg
Evolutionary Computing: AISB Workshop, Brighton, U. K. , April 1 - 2, 1996. Selected Papers
Efficient Evolution Strategies for Exploration in mobile robotics
Authors

J. C. W. Sullivan; A. G. Pipe

ARI Id

1664972916844_4293860

Access

Not Available Free

Pages

147-161

DOI

10.1007/BFb0032780

Chapter URL

https://rd.springer.com/chapter/10.1007/BFb0032780

Table of Contents of Book
Showing 1 to 20 of 25 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Fast evolutionary learning of minimal radial basis function neural networks using a genetic algorithm
Brian Carse; Terence C. Fogarty
1-22
Evolutionary design of synthetic routes in chemistry
Hugh M. Cartwright; Julie A. Hopkins
23-38
A genetic algorithm for job-shop problems with various schedule quality criteria
Hsiao -Lan Fang; David Corne; Peter Ross
39-49
Two applications of genetic algorithms to component design
Phil Husbands; Giles Jermy; Malcolm McIlhagga; Robert Ives
50-61
Characterizing signal behaviour using genetic programming
Per Jonsson; Jonas Barklund
62-72
Spatial reasoning with genetic algorithms an application in planning of safe Liquid Petroleum Gas sites
Ken Lunn; Caroline Johnson
73-84
Restricted evaluation genetic algorithms with Tabu search for optimising Boolean functions as multi-level AND-EXOR networks
Julian. F. Miller; Peter Thomson
85-101
Generation of structured process models using Genetic Programming
Hartmut Pohlheim; Peter Marenbach
102-109
Genetic Programming for feature detection and image segmentation
Riccardo Poli
110-125
A temporal view of selection and populations
Sam Sandqvist
126-136
Evolving software test data — GA's learn self expression
Jim Smith; T. C. Fogarty
137-146
Efficient Evolution Strategies for Exploration in mobile robotics
J. C. W. Sullivan; A. G. Pipe
147-161
Learning the “next” dimension
G. Bilchev; I. C. Parmee
162-174
Global selection methods for massively parallel computers
Jürgen Branke; Hans Christian Andersen; Hartmut Schmeck
175-188
Investigating multiploidy's niche
David Corne; Emma Collingwood; Peter Ross
189-197
Evolutionary divide and conquer for the set-covering problem
Luis F. González Hernández; David W. Corne
198-208
The simulation of localised interaction and learning in artificial adaptive agents
Robert Hoffmann; Nigel Waring
209-222
The Royal Road functions: description, intent and experimentation
R. J. Quick; V. J. Rayward-Smith; G. D. Smith
223-235
Adaptive Restricted Tournament Selection for the identification of multiple sub-optima in a multi-modal function
R. Roy; I. C. Parmee
236-256
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 25 entries
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