Comparison of Performance between Genetic Algorithm and Breeding Algorithm for Global Optimization of Continuous Functions

This paper indicates a practical way and conditions for the algorithms to achieve global optimization according to its probability characteristic. Based on this, the convergence performances of conventional genetic algorithm (GA) and breeding algorithm (BA) are estimated and compared according to th...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Zheng Xiao-ping, Huang Shi-zhao, Ding Xin-wei
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Breeding algorithm Chemical engineering Chemical technology Comparison Computational efficiency Convergence Cost function Design optimization Evolutionary computation Genetic algorithm Genetic algorithms Global optimization Optimization methods Sampling methods Stochastic processes
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!