Title :
Simulated jumping in genetic algorithms for a set of test functions
Author :
Fernandez-Villacanas, J.L. ; Amin, Shara
Author_Institution :
Appl. Res. & Technol., British Telecom Labs., Ipswich, UK
Abstract :
A hybrid GA based evolutionary algorithm has been built with a range of selection and variation heuristics; amongst them a jumping model for cooling and heating that can be automated for each test problem. These methods have been tested on five mathematical functions for which they outperform the genetic algorithms considered in terms of number of function evaluations
Keywords :
artificial intelligence; evolution (biological); genetic algorithms; heuristic programming; simulation; function evaluations; genetic algorithms; hybrid GA based evolutionary algorithm; jumping model; mathematical functions; simulated jumping; test functions; variation heuristics; Algorithm design and analysis; Annealing; Automatic testing; Cooling; Evolutionary computation; Genetic algorithms; Laboratories; Optimization methods; Regions; Space heating;
Conference_Titel :
Intelligent Information Systems, 1997. IIS '97. Proceedings
Conference_Location :
Grand Bahama Island
Print_ISBN :
0-8186-8218-3
DOI :
10.1109/IIS.1997.645223
