Solving Optimization Problems With The Heuristic Kalman Algorithm

[FaridKhan]

English | 2024 | ISBN: 3031524586 | 306 Pages | PDF EPUB (True) | 25 MB

Publisher: Springer International Publishing
Description:

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.

Contents of Download:
978-3-031-52459-2.epub (Rosario Toscano) (2024) (21.37 MB)
978-3-031-52459-2.pdf (9 MB)

️ Solving Optimization Problems With The Heuristic Kalman Algorithm (30.37 MB)
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