Introduction The rapid growth of programs produced by genetic programming (GP) is a well documented phenomenon [Koza, 1992; Blickle and Thiele, 1994; Nordin and Banzhaf, 1995; McPhee and Miller, 1995; Soule et al., 1996; Greeff and Aldrich, 1997; Soule, 1998] . This growth, often referred to as "code bloat", need not be correlated with increases in the fitness of the evolving programs and consists primarily of code which does not change the semantics of the evolving program. The rate of growth appears to vary depending upon the particular genetic programming paradigm being used, but exponential rates of growth have been documented [Nordin and Banzhaf, 1995] . Code bloat occurs in both tree based and linear genomes [Nordin, 1997...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average siz...
Biological chromosomes are replete with repetitive sequences, microsatellites, SSR tracts, ALU, and ...
The problem of evolving, using mutation, an articial ant to follow the Santa Fe trail is used to stu...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
The problem of evolving an artificial ant to follow the Santa Fe trail is used to demonstrate the we...
Bloat is one of the most widely studied phenomena in Genetic Programming (GP), it is normally define...
AbstractGenetic programming (GP), a widely used evolutionary computing technique, suffers from bloat...
Code bloat, the excessive increase of code size, is an important is- sue in Genetic Programming (GP)...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fift...
In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size...
In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size...
In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhib...
One serious problem of standard Genetic Programming (GP) is that evolved structures appear to drift ...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average siz...
Biological chromosomes are replete with repetitive sequences, microsatellites, SSR tracts, ALU, and ...
The problem of evolving, using mutation, an articial ant to follow the Santa Fe trail is used to stu...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
The problem of evolving an artificial ant to follow the Santa Fe trail is used to demonstrate the we...
Bloat is one of the most widely studied phenomena in Genetic Programming (GP), it is normally define...
AbstractGenetic programming (GP), a widely used evolutionary computing technique, suffers from bloat...
Code bloat, the excessive increase of code size, is an important is- sue in Genetic Programming (GP)...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
In earlier work we predicted program size would grow in the limit at a quadratic rate and up to fift...
In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size...
In tree-based genetic programming (GP) there is a tendency for the program trees to increase in size...
In various nuances of evolutionary algorithms it has been observed that variable sized genomes exhib...
One serious problem of standard Genetic Programming (GP) is that evolved structures appear to drift ...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average siz...
Biological chromosomes are replete with repetitive sequences, microsatellites, SSR tracts, ALU, and ...