Evolutionary Computing, AISB Workshop 1995: Sheffield, UK

@proceedings{DBLP:conf/aisb/1995,
  editor    = {Terence C. Fogarty},
  title     = {Evolutionary Computing, AISB Workshop, Sheffield, UK, April 3-4,
               1995, Selected Papers},
  booktitle = {Evolutionary Computing, AISB Workshop},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {993},
  year      = {1995},
  isbn      = {3-540-60469-3},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Theory

• David Corne, Peter Ross:
  Some Combinatorial Landscapes on which a Genetic Algorithm Outperforms Other Stochastic Iterative Methods. 1-13
  
• Jonathan L. Shapiro, Adam Prügel-Bennett:
  Maximum Entropy Analysis of Genetic Algorithm Operators. 14-24
  

Techniques

• George Bilchev, Ian C. Parmee:
  The Ant Colony Metaphor for Searching Continuous Design Spaces. 25-39
  
• Sadayoshi Mikami, Yukinori Kakazu, Terence C. Fogarty:
  Broadcast Based Fitness Sharing GA for Conflict Resolution Among Autonomous Robots. 40-47
  
• Jim Smith, Terence C. Fogarty:
  An Adaptive Poly-Parental Recombination Strategy. 48-61
  
• A. J. Swann:
  Neighbourhood Seeding to Reduce Problem Modality. 62-74
  

Timetabling

• Edmund K. Burke, Dave Elliman, Rupert F. Weare:
  Specialised Recombinative Operators for Timetabling Problems. 75-85
  
• Ben Paechter, Andrew Cumming, Henri Luchian:
  The Use of Local Search Suggestion Lists for Improving the Solution of Timetable Problems with Evolutionary Algorithms. 86-93
  
• Peter Ross, David Corne:
  Comparing Genetic Algorithms, Simulated Annealing, and Stochastic Hillclimbing on Timetabling Problems. 94-102
  

Routing and Scheduling

• Brian Carse, Terence C. Fogarty, Alistair Munro:
  Evolutionary Learning in Computational Ecologies: An Application to Adaptive, Distributed Routing in Communication Networks. 103-116
  
• A. Kapsalis, Pierre Chardaire, Victor J. Rayward-Smith, G. D. Smith:
  The Radio Link Frequency Assignment Problem: A Case Study Using Genetic Algorithms. 117-131
  
• William B. Langdon:
  Scheduling Planned Maintenance of the National Grid. 132-153
  

Optimization

• Dragan A. Savic, Godfrey A. Walters:
  Genetic Operators and Constraint Handling for Pipe Network Optimization. 154-165
  
• Patrick D. Surry, Nicholas J. Radcliffe, Ian D. Boyd:
  A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method. 166-180
  

Signal Processing and Control

• Julian F. Miller, Peter Thomson, P. V. G. Bradbeer:
  Ternary Decision Diagram Optimisation of Reed-Muller Logic Functions using a Genetic Algorithm for Variable and Simplification Rule Ordering. 181-190
  
• Dekun Yang, Stuart J. Flockton:
  An Evolutionary Algorithm for Parametric Array Signal Processing. 191-199
  
• Mukesh Patel:
  Constraints on Task and Search Complexity in GA + NN Models of Learning and Adaptive Behaviour. 200-223
  
• Frank Vavak, Terence C. Fogarty, Phillip Cheng:
  Load Balancing Application of the Genetic Algorithm in a Nonstationary Environment. 224-233
  

Genetic Programming

• Gerald Robinson, Paul McIlroy:
  Exploring some Commercial Applications of Genetic Programming. 234-264
  

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