Free Download Solving Optimization Problems with the Heuristic Kalman Algorithm: New Stochastic Methods
English | 2024 | ISBN: 3031524586 | 306 Pages | PDF EPUB (True) | 25 MB
The main optimization tool used in this book to tackle the problem of nonconvexity is the Heuristic Kalman Algorithm (HKA). The main characteristic of HKA is the use of a stochastic search mechanism to solve a given optimization problem. From a computational point of view, the use of a stochastic search procedure appears essential for dealing with non-convex problems.
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