Progress in Evolutionary Computation

1. Comparison of heuristic search algorithms for single machine scheduling problems

   • Graham McMahon, Daniel Hadinoto

   Pages 293-304

2. Encoding graphs for genetic algorithms: An investigation using the minimum spanning tree problem

   • Pushkar Piggott, Francis Suraweera

   Pages 305-314

This volume contains the best carefully revised full papers selected from the presentations accepted for the AI '93 and AI '94 Workshop on Evolutionary Computation held in Australia.
The 21 papers included cover a wide range of topics in the field of evolutionary computation, from constrained function optimization to combinatorial optimization, from evolutionary programming to genetic programming, from robotic strategy learning to co-evolutionary game strategy learning. The papers reflect important recent progress in the field; more than half of the papers come from overseas.

• artificial intelligence
• combinatorial optimization
• evolution
• evolutionary computation
• genetic programming
• learning
• optimization
• programming
• robot
• combinatorics

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