Abstract- This study investigates the use of multiobjec-tive techniques in Genetic Programming (GP) in order to evolve compact programs and to reduce the effects caused by bloating. The proposed approach considers the pro-gram size as a second, independent objective besides the program functionality. In combination with a recent mul-tiobjective evolutionary technique, SPEA2, this method outperforms four other strategies to reduce bloat with re-gard to both convergence speed and size of the produced programs on a even-parity problem.
Program Bloat - phenomenon of ever-increasing program size during a GP run - is a recognised and wid...
The application of multi-objective evolutionary computation techniques to the genetic programming of...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Bloat is one of the most widely studied phenomena in Genetic Programming (GP), it is normally define...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
Unnecessary growth in program size is known as the bloat problem in Genetic Programming. Bloat not o...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
This paper presents an approach to solve the parsimony, or a tree size growth, problem in Genetic Pr...
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average siz...
Introduction The rapid growth of programs produced by genetic programming (GP) is a well documented...
AbstractGenetic programming (GP), a widely used evolutionary computing technique, suffers from bloat...
This paper presents a new proposal for reducing bloat in Genetic Programming. This proposal is base...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
In genetic programming, the size of a solution is typically not specified in advance and solutions o...
Program Bloat - phenomenon of ever-increasing program size during a GP run - is a recognised and wid...
The application of multi-objective evolutionary computation techniques to the genetic programming of...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...
Unnecessary growth in program size is known as bloat problem in Genetic Programming. There are a lar...
Bloat is one of the most widely studied phenomena in Genetic Programming (GP), it is normally define...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
Unnecessary growth in program size is known as the bloat problem in Genetic Programming. Bloat not o...
Genetic Programming is an evolutionary computation technique which searches for those computer progr...
This paper presents an approach to solve the parsimony, or a tree size growth, problem in Genetic Pr...
Genetic programming has highlighted the problem of bloat, the uncontrolled growth of the average siz...
Introduction The rapid growth of programs produced by genetic programming (GP) is a well documented...
AbstractGenetic programming (GP), a widely used evolutionary computing technique, suffers from bloat...
This paper presents a new proposal for reducing bloat in Genetic Programming. This proposal is base...
The parsimony pressure method is perhaps the simplest and most frequently used method to control blo...
In genetic programming, the size of a solution is typically not specified in advance and solutions o...
Program Bloat - phenomenon of ever-increasing program size during a GP run - is a recognised and wid...
The application of multi-objective evolutionary computation techniques to the genetic programming of...
Practical optimization problems often have multiple objectives, which are likely to conflict with ea...