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» Population Implosion in Genetic Programming
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PPSN
2000
Springer
14 years 1 months ago
Genetic Programming Bloat without Semantics
To investigate the fundamental causes of bloat, six artificial random binary tree search spaces are presented. Fitness is given by program syntax (the genetic programming genotype)...
William B. Langdon, Wolfgang Banzhaf
EUROGP
2000
Springer
177views Optimization» more  EUROGP 2000»
14 years 1 months ago
Register Based Genetic Programming on FPGA Computing Platforms
The use of FPGA based custom computing platforms is proposed for implementing linearly structured Genetic Programs. Such a context enables consideration of micro architectural and ...
Malcolm I. Heywood, A. Nur Zincir-Heywood
GECCO
2000
Springer
104views Optimization» more  GECCO 2000»
14 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
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
IFIP
2004
Springer
14 years 3 months ago
Solving Geometrical Place Problems by using Evolutionary Algorithms
Geometrical place can be sometimes difficult to find by applying mathematical methods. Evolutionary algorithms deal with a population of solutions. This population (initially ran...
Crina Grosan