Paper Info
Title
Statistical Analysis Of The Parameters Of The Simulated Annealing Algorithm
Abstract
This paper proposes using the ANOVA (ANalysis Of the VAriance) method to carry out an exhaustive analysis of the simulated annealing (Sim-Ann) method and the different parameters it requires, such as those related to: the neighbourhood; the cooling scheme; the initial temperature; the number of times the cooling scheme is applied; and the number of times we search for best individual before the temperature is cooled. When undertaking a detailed statistical analysis of the influence of each parameter, the designer should pay attention mostly to the parameter presenting values that are statistically most significant. Following this idea, the significance and relative importance of the parameters with respect to the obtained results, as well as suitable values for each of these, were obtained using ANOVA on four well known function optimization problems.
Year
DOI
Venue
2010
10.1109/CEC.2010.5586160
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
simulated annealing,simulated annealing algorithm,function approximation,schedules,nickel,statistical analysis,analysis of variance,algorithm design and analysis,present value
Simulated annealing,Mathematical optimization,Algorithm design,Function approximation,Computer science,Adaptive simulated annealing,Function optimization,Schedule,Artificial intelligence,Machine learning,Statistical analysis,Analysis of variance
Conference
Citations 
PageRank 
References 
0
0.34
16
Authors
7
Name
Order
Citations
PageRank
Maribel García Arenas123126.53
Juan Luís Jiménez Laredo221022.61
Pedro A. Castillo317733.68
Pablo G. Saanchez400.34
Antonio Miguel Mora531442.81
Alberto Prieto679397.13
Juan J. Merelo Guervós7794128.38