BOOSTING SIMULATED ANNEALING WITH FITNESS LANDSCAPE PARAMETERS FOR BETTER OPTIMALITY
نویسندگان
چکیده
منابع مشابه
Clustering via Support Vector Machine Boosting with Simulated Annealing
SVMs are shown to be effective at clustering when used with metaheuristics to recover label information in a bootstrap learning process. An automated tuning solution for Support Vector Machine (SVM) classification and clustering methods is described. This is shown for two complemetary situations: (1) by implementing a simulated annealing with perturbation tuning procedure on the relabeler-SVM b...
متن کاملAccounting for Estimation Optimality Criteria in Simulated Annealing
This paper presents both estimation and simulation as optimization problems that differ in the optimization criteria, minimization of a local expected loss for estimation and reproduction of global statistics (semivariogram, histogram) for simulation. An intermediate approach is proposed whereby an initial random image is gradually modified using simulated annealing so as to better match both l...
متن کاملHow to Define Simulated Annealing for Optimality Theory?
Optimality Theory (OT) requires an algorithm optimising the Harmony function on the set of candidates. Simulated annealing, a well-known heuristic technique for combinatorial optimisation, has been argued to be an empirically adequate solution to this problem. In order to generalise simulated annealing for a non-real valued Harmony function, two representations of a violation profile are propos...
متن کاملOptimizing Turning Parameters for Cylindrical Parts Using Simulated Annealing Method
In this paper, a simulated annealing algorithm has been developed to optimize machining parameters in turning operation on cylindrical workpieces. The turning operation usually includes several passes of rough machining and a final pass of finishing. Seven different constraints are considered in a non-linear model where the goal is to achieve minimum total cost. The weighted total cost consists...
متن کاملA systematic procedure for setting parameters in simulated annealing algorithms
Values of parameters used in simulated annealing (SA) algorithms must be carefully selected since parameter values may have a significant influence on the performance of the algorithm. However, it is not easy to find good parameter values because values of a wide range have to be considered for each parameter and some parameters may be correlated with each other. In this paper, we suggest a pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computing
سال: 2015
ISSN: 2312-5381,1727-6209
DOI: 10.47839/ijc.14.2.807