Evolutionary Computing, AISB Workshop 1996: Bighton, UK

@proceedings{DBLP:conf/aisb/1996,
  editor    = {Terence C. Fogarty},
  title     = {Evolutionary Computing, AISB Workshop, Brighton, UK, April 1-2,
               1996, Selected Papers},
  booktitle = {Evolutionary Computing, AISB Workshop},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1143},
  year      = {1996},
  isbn      = {3-540-61749-3},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Applications

• Brian Carse, Terence C. Fogarty:
  Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic Algorithm. 1-22
  
• Hugh M. Cartwright, Julie A. Hopkins:
  Evolutionary Design of Synthetic Routes in Chemistry. 23-38
  
• Hsiao-Lan Fang, David Corne, Peter Ross:
  A Genetic Algorithm for Job-Shop Problems with Various Schedule Quality Criteria. 39-49
  
• Phil Husbands, Giles Jermy, Malcolm McIlhagga, Robert Ives:
  Two Applications of Gentic Algorithms to Component Design. 50-61
  
• Per Jonsson, Jonas Barklund:
  Characterizing Signal Behaviour Using Genetic Programming. 62-72
  
• Ken Lunn, Caroline Johnson:
  Spatial Reasoning with Genetic Algorithms - An Application in Planning of Safe Liquid Petroleum Gas Sites. 73-84
  
• Julian F. Miller, Peter Thompson:
  Restricted Evaluation Genetic Algorithms with Tabu Search for Optimising Boolean Functions as Multi-Level AND-EXOR Networks. 85-101
  
• Hartmut Pohlheim, Peter Marenbach:
  Generation of Structured Process Models Using Genetic Programming. 102-109
  
• Riccardo Poli:
  Genetic Programming for Feature Detection and Image Segmentation. 110-125
  
• Sam Sandqvist:
  A Temporal View of Selection and Populations. 126-136
  
• Jim Smith, Terence C. Fogarty:
  Evolving Software Test Data - GA's learn Self Expression. 137-146
  
• J. C. W. Sullivan, Anthony G. Pipe:
  Efficient Evolution Strategies for Exploration in Mobile Robotics. 147-161
  

Techniques

• George Bilchev, Ian C. Parmee:
  Learning the "Next" Dimension. 162-174
  
• Jürgen Branke, Hans Christian Andersen, Hartmut Schmeck:
  Global Selection Methods for Massively Parallel Computers. 175-188
  
• David Corne, Emma Collingwood, Peter Ross:
  Investigating Multipoidy's Niche. 189-197
  
• Luis F. González Hernández, David Corne:
  Evolutionary Divide and Conquer for the Set-Covering Problem. 198-208
  
• Robert Hoffmann, Nigel Waring:
  The Simulation of Localised Interaction and Learning in Artificial Adaptive Agents. 209-222
  
• R. J. Quick, Victor J. Rayward-Smith, G. D. Smith:
  The Royal Road Functions: Description, Intent and Experimentation. 223-235
  
• R. Roy, Ian C. Parmee:
  Adaptive Restricted Tournament Selection for the Identification of Multiple Sub-Optima in a Multi-Modal Function. 236-256
  
• Bernhard Sendhoff, Martin Kreutz:
  Analysis of Possible Genome-Dependence of Mutation Rates in Genetic Algorithms. 257-268
  
• Patrick D. Surry, Nicholas J. Radcliffe:
  Inoculation to Initialise Evolutionary Search. 269-285
  
• Andrew Tuson, Peter Ross:
  Co-evolution of Operator Settings in Genetic Algorithms. 286-296
  
• Frank Vavak, Terence C. Fogarty:
  A Comparative Study of Steady State and Generational Genetic Algorithms. 297-304
  

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