Abstract
In this chapter, optimization algorithms of GA, ACO, and PSO are introduced. They are combined with SVM and ANN and show convenience in experiments. Also multi-objective optimization is introduced, like MOCell, AbYSS, OMOPSO, and SPEA2. They are compared in many aspects. Among them, OMOPSO and MOCell are the proposed algorithms for online multi-object optimization of coal-fired boilers.
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Zhou, H., Cen, K. (2018). Combining Neural Network or Support Vector Machine with Optimization Algorithms to Optimize the Combustion. In: Combustion Optimization Based on Computational Intelligence. Advanced Topics in Science and Technology in China. Springer, Singapore. https://doi.org/10.1007/978-981-10-7875-0_6
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DOI: https://doi.org/10.1007/978-981-10-7875-0_6
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