Evolutionary Computing, AISB Workshop 1997: Manchester, UK

@proceedings{DBLP:conf/aisb/1997,
  editor    = {David Corne and
               Jonathan L. Shapiro},
  title     = {Evolutionary Computing, AISB International Workshop, Manchester,
               UK, April 7-8, 1997, Selected Papers},
  booktitle = {Evolutionary Computing, AISB Workshop},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1305},
  year      = {1997},
  isbn      = {3-540-63476-2},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Evolutionary Approaches to Issues in Biology and Economics

• Sue Bedingfield, Stephen Huxford, Yen Cheung:
  Simulating Pricing Behaviours Using a Genetic Algorithm. 3-10
  
• Paul Devine, Ray Paton:
  Biologically Inspired Computational Ecologies: A Case Study. 11-30
  
• Bruce Edmonds, Scott Moss:
  Modelling Bounded Rationality Using Evolutionary Techniques. 31-42
  
• V. L. Kalmykov:
  The Abstract Theory of Evolution of the Living. 43-51
  

Problem Structure and Fitness Landscapes

• Hunter P. Albright, James P. Ignizio:
  An Evolutionary Algorithm for Single Objective Nonlinear Constrained Optimization Problems. 55-64
  
• Ian Robert East:
  On Recombinative Sampling. 65-74
  
• Tony Hirst:
  The Evolution of Mutation, Plasticity and Culture in Cyclically Changing Environments. 75-90
  
• Tony Hirst:
  On the Structure and Transformation of Landscapes. 91-108
  
• L. Darrell Whitley, Soraya B. Rana, Robert B. Heckendorn:
  Island Model genetic Algorithms and Linearly Separable Problems. 109-125
  

Evolutionary Machine Learning and Classifier Systems

• Philip Jacob, Andrew Ball:
  Empirical Validation of the Performance of a Class of Transient Detector. 129-146
  
• H. Kennedy, C. Chinniah, P. V. G. Bradbeer, L. Morss:
  The Construction and Evaluation of Decision Trees: a Comparison of Evolutionary and Concept Learning Methods. 147-162
  
• Riccardo Poli:
  Parallel Distributed Genetic Programming Applied to the Evolution of Natural Language Recognisers. 163-177
  

Progress in Evolutionary Scheduling

• William B. Langdon:
  Scheduling Planned Maintenance of the South Wales Region of the National Grid. 181-198
  
• Malcolm McIlhagga:
  Solving Generic Scheduling Problems with a Distributed Genetic Algorithm. 199-212
  
• Peter Ross, Andrew Tuson:
  Directing the Search of Evolutionary and Neighbourhood-Search Optimisers for the Flowshop Sequencing Problem with an Idle-Time Heuristic. 213-226
  
• Dragan A. Savic, Godfrey A. Walters, Martin Schwab:
  Multiobjective Genetic Algorithms for Pump Scheduling in Water Supply. 227-236
  
• Jane Shaw, Peter J. Fleming:
  Use of Rules and Preferences for Schedule Builders in Genetic Algorithms for Production Scheduling. 237-250
  

Novel Techniques and Applications of Evolutionary Algorithms

• Peter Baron, Robert B. Fisher, Andrew Sherlock, Frank Mill, Andrew Tuson:
  A Voxel Based Approach to Evolutionary Shape Optimisation. 253-262
  
• Anthony Deakin, Derek Yates:
  Phase Transition Networks: A Modelling Technique Supporting the Evolution of Autonomous Agents' Tactical and Operational Activities. 263-274
  
• Ian C. Parmee, M. Beck:
  An Evolutionary, Agent-Assisted Strategy for Conceptual Design Space Decomposition. 275-286
  
• Franciszek Seredynski:
  Task Scheduling with use of Classifier Systems. 287-306
  

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