Definition
One of the nature-inspired meta-heuristic global optimization methods, the particle swarm optimization (PSO), is here introduced and its application in geosciences presented. The basic algorithm with an illustrative example is discussed and compared with other global methods like simulated annealing, differential evolution, and Nelder-Mead method.
Global Optimization
In global optimization problems, where an objective function f(x) having many local minima is considered, finding the global minimizer (also known as global solution or global optimum) x* and the corresponding f * value is of concern.
Global optimization problems arise frequently in engineering, decision-making, optimal control, etc. (Awange et al. 2018). There exist two huge but almost completely disjoint communities (i.e., they have different journals, different conferences, different test functions, etc.) solving these problems: (i) a broad community of practitioners using stochastic nature-inspired...
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Bibliography
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Awange, J., Paláncz, B., Völgyesi, L. (2021). Particle Swarm Optimization in Geosciences. In: Daya Sagar, B., Cheng, Q., McKinley, J., Agterberg, F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_240-1
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DOI: https://doi.org/10.1007/978-3-030-26050-7_240-1
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