An introduction to metaheuristics for optimization problems is presented in this chapter. In Sect. 3.1 a classification of metaheuristics is put forward. The metaheuristics Differential Evolution (DE); Particle Collision Algorithm (PCA); Ant Colony Optimization (ACO) in its version for continuous problems; and Particle Swarm Optimization (PSO) are described in Sects. 3.2, 3.3, 3.4 and 3.5, respectively. These metaheuristics were applied to he benchmark problems diagnosis described in Chap. 2, based on Fault Diagnosis-Inverse Problem Methodology (FD-IPM) as described in Chap. 2.
CITATION STYLE
Camps Echevarría, L., Llanes Santiago, O., de Campos Velho, H. F., & da Silva Neto, A. J. (2019). Metaheuristics for optimization problems. In Studies in Computational Intelligence (Vol. 763, pp. 43–83). Springer Verlag. https://doi.org/10.1007/978-3-319-89978-7_3
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