The computational optimisation technique, genetic programming, is applied to the analytic solution of general differential equations. The approach generates a mathematical expression that is an approximate or exact solution to the particular equation under consideration. Angeline’s module acquisition (MA) and Koza’s automatically defined functions (ADF) are considered and the results of some modifications are presented, including a significant result regarding a generalised crossover operator
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Char...
Many problems do not have a direct solution in the form of a known algorithm or program to solve suc...
The computational optimisation technique, genetic programming, is applied to the analytic solution o...
A novel method for solving ordinary and partial differential equations, based on grammatical evoluti...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
Introduction Genetic programming is a domain-independent problem-solving approach in which computer ...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
The increasing computational power of modern computers has contributed to the advance of nature-insp...
Abstract. Cartesian Genetic Programming (CGP) is applied to solv-ing differential equations (DE). We...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Creating or preparing Multi-objective formulations are a realistic models for many complex engineeri...
This paper describes the use of genetic programming to automate the discovery of numerical approxima...
Genetic Programming (GP) automatically generates computer programs to solve specified problems. It d...
The hybridization and combination of different Evolutionary Algorithms to improve the quality of the...
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Char...
Many problems do not have a direct solution in the form of a known algorithm or program to solve suc...
The computational optimisation technique, genetic programming, is applied to the analytic solution o...
A novel method for solving ordinary and partial differential equations, based on grammatical evoluti...
Genetic programming (GP) is an automated method for creating a working computer program from a high-...
Introduction Genetic programming is a domain-independent problem-solving approach in which computer ...
Abstract: Genetic Algorithm (GA) is a calculus free optimization technique based on principles of na...
The increasing computational power of modern computers has contributed to the advance of nature-insp...
Abstract. Cartesian Genetic Programming (CGP) is applied to solv-ing differential equations (DE). We...
Genetic Programming (GP) is an automatic programming methodology using mechanisms inspired by biolo...
Creating or preparing Multi-objective formulations are a realistic models for many complex engineeri...
This paper describes the use of genetic programming to automate the discovery of numerical approxima...
Genetic Programming (GP) automatically generates computer programs to solve specified problems. It d...
The hybridization and combination of different Evolutionary Algorithms to improve the quality of the...
Genetic programming (GP) as an automatic programming method has been rapidly gaining more attention ...
Genetic algorithm (GA) is a popular technique of optimization that is bio-inspired and based on Char...
Many problems do not have a direct solution in the form of a known algorithm or program to solve suc...