Several types of line search methods are documented in the literature and are well known for unconstraint optimization problems. This paper proposes a modified line search method, which makes use of partial derivatives and restarts the search process after a given number of iterations by modifying t
A stochastic technique for global optimization
✍ Scribed by Bruno Betrò; Fabio Schoen
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 431 KB
- Volume
- 21
- Category
- Article
- ISSN
- 0898-1221
No coin nor oath required. For personal study only.
📜 SIMILAR VOLUMES
Image segmentation denotes a process by which a raw input image is partitioned into nonoverlapping regions such that each region is homogeneous and the union of any two adjacent regions is heterogenous. A segmented image is considered to be the highest domain-independent abstraction of an input imag
This paper deals with two different optimization techniques to solve the boundconstrained nonlinear optimization problems based on division criteria of a prescribed search region, finite interval arithmetic and interval ranking in the context of a decision maker's point of view. In the proposed tech