Applying Evolutionary Algorithms to Combinatorial Optimization Problems
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Forking Genetic Algorithm with Blocking and Shrinking Modes (fGA)
Proceedings of the 5th International Conference on Genetic Algorithms
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Brain storm optimization algorithm
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
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The human opinion formation can be understood as a social approach to optimization. In the real world, the opinions on different issues encode a ''candidate solution'', which is evaluated by a complex and unknown fitness function. The computer models of such processes can be easily modified by introducing a fitness value, which leads to novel family of optimization techniques. This paper demonstrates how the novel algorithms can be derived from opinion formation models and empirically demonstrates their usability in the area of binary optimization. Particularly, it introduces a general SITO algorithmic framework and describes four algorithms based on this general framework. Recent applications of these algorithms to pattern recognition in electronic nose, electronic tongue, new born EEG and ICU patient mortality prediction are discussed. Finally, an open source SITO library for MATLAB and JAVA is introduced.