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GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
15 years 1 months ago
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...
GECCO
2000
Springer
109views Optimization» more  GECCO 2000»
15 years 1 months ago
GP+Echo+Subsumption = Improved Problem Solving
Real-time, adaptive control is a difficult problem that can be addressed by EC architectures. We are interested in incorporating into an EC architecture some of the features that ...
William F. Punch, W. M. Rand
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
15 years 1 months ago
Intelligent Recombination Using Individual Learning in a Collective Learning Genetic Algorithm
This paper introduces a new collective learning genetic algorithm (CLGA) which employs individual learning to do intelligent recombination based on a cooperative exchange of knowl...
Terry P. Riopka, Peter Bock
GECCO
2000
Springer
104views Optimization» more  GECCO 2000»
15 years 1 months ago
Quadratic Bloat in Genetic Programming
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fty generations we measured bloat O(generations1:2;1:5). On two simple benchmarks w...
William B. Langdon
GECCO
2000
Springer
178views Optimization» more  GECCO 2000»
15 years 1 months ago
Fitness Sharing in Genetic Programming
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
Robert I. McKay