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A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA
TLDR
A simulated annealing based multiobjective optimization algorithm that incorporates the concept of archive in order to provide a set of tradeoff solutions for the problem under consideration that is found to be significantly superior for many objective test problems.
Performance Evaluation of Some Clustering Algorithms and Validity Indices
In this article, we evaluate the performance of three clustering algorithms, hard K-Means, single linkage, and a simulated annealing (SA) based technique, in conjunction with four cluster validity
Nonparametric genetic clustering: comparison of validity indices
A variable-string-length genetic algorithm (GA) is used for developing a novel nonparametric clustering technique when the number of clusters is not fixed a-priori. Chromosomes in the same population
Fuzzy partitioning using a real-coded variable-length genetic algorithm for pixel classification
The problem of classifying an image into different homogeneous regions is viewed as the task of clustering the pixels in the intensity space. Real-coded variable string length genetic fuzzy
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