DocumentCode :
1949842
Title :
Comparison of the Effectiveness of Different Cost Functions in Global Optimization Techniques
Author :
Zanchettin, Cleber ; Ludermir, Teresa B.
Author_Institution :
Fed. Univ. of Pernambuco, Recife
fYear :
2007
fDate :
12-17 Aug. 2007
Firstpage :
2701
Lastpage :
2706
Abstract :
It is present herein an evaluation of the effect of different cost functions on a methodology that integrates heuristic tabu search, simulated annealing, genetic algorithms and backpropagation. We investigated five cost function approaches: the average method, weighted average, weight-decay, multi- objective optimization, combined multi-objective and weight- decay. The weight-decay approach presented promising results in the optimization process. The experiments were performed in four classifications and one prediction problem.
Keywords :
backpropagation; genetic algorithms; search problems; simulated annealing; average method; backpropagation; cost functions; genetic algorithms; global optimization techniques; heuristic tabu search; multi-objective optimization; simulated annealing; weight-decay optimization; weighted average; Artificial neural networks; Backpropagation; Computational efficiency; Cooling; Cost function; Genetic algorithms; Network topology; Neural networks; Optimization methods; Simulated annealing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
ISSN :
1098-7576
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2007.4371385
Filename :
4371385
Link To Document :
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