scholarly journals Deterministic Annealing: A Variant of Simulated Annealing and its Application to Fuzzy Clustering

10.5772/66072 ◽  
2017 ◽  
Author(s):  
Makoto Yasuda
Keyword(s):  
Simulated Annealing ◽  
Fuzzy Clustering ◽  
Deterministic Annealing

A Hybrid Artificial Fish Swarm Simulated Annealing Optimization Algorithm for Automatic Identification of Clusters

2016 ◽  
Vol 15 (05) ◽  
pp. 949-974 ◽  
Author(s):  
Si He ◽  
Nabil Belacel ◽  
Alan Chan ◽  
Habib Hamam ◽  
Yassine Bouslimani
Keyword(s):  
Simulated Annealing ◽  
Fuzzy Clustering ◽  
A Priori ◽  
Clustering Algorithms ◽  
Hybrid Approach ◽  
Real Life ◽  
Automatic Identification ◽  
Artificial Fish Swarm Algorithm ◽  
Fuzzy Clustering Method ◽  
Artificial Fish Swarm

This paper introduces an alternative fuzzy clustering method that does not require fixing the number of clusters a priori and produce reliable clustering results. This newly proposed method empowers the existing Improved Artificial Fish Swarm algorithm (IAFSA) by the simulated annealing (SA) algorithm. The hybrid approach can prevent IAFSA from unexpected vibration and accelerate convergence rate in the late stage of evolution. Computer simulations are performed to compare this new method with well-known fuzzy clustering algorithms using several synthetic and real-life datasets. Our experimental results show that our newly proposed approach outperforms some other well-known existing fuzzy clustering algorithms in terms of both accuracy and robustness.

Reactive Power Planning Based on Fuzzy Clustering, Gray Code, and Simulated Annealing

2011 ◽  
Vol 26 (4) ◽  
pp. 2246-2255 ◽  
Author(s):  
Yurong Wang ◽  
Fangxing Li ◽  
Qiulan Wan ◽  
Hao Chen
Keyword(s):  
Simulated Annealing ◽  
Fuzzy Clustering ◽  
Reactive Power ◽  
Gray Code ◽  
Reactive Power Planning
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