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3461. Radial Epiderivative based Method in nonconvex Lipschitz Optimization
Invited abstract in session WB-41: Structured nonconvex optimization , stream Nonsmooth Optimization.
Wednesday, 10:30-12:00Room: 97 (building: 306)
Authors (first author is the speaker)
1. | Gulcin Dinc Yalcin
|
Industrial Engineering, Eskisehir Technical University | |
2. | Refail Kasimbeyli
|
Industrial Engineering, Eskisehir Technical University | |
3. | Erdener Özçetin
|
Industrial Engineering, Hitit University | |
4. | Gazi Bilal YILDIZ
|
Abstract
This study aims to develop a method based on the radial epiderivative, a notion defined for non-convex functions. The method begins with an initial solution. Then, at each iteration, a direction is chosen and evaluated by using the value of the radial epiderivative at the current point. If the direction is decent, a new point is generated in that direction. If not, a new direction is determined, and the process is repeated. Determining directions is a crucial aspect to consider. The study utilizes particle swarm optimization (PSO) and cyclic coordinate (CC) to determine directions at each iteration. Two algorithms, radial epiderivative-based PSO (RPSO) and radial epiderivative-based CC (RCC), are then analyzed. The algorithms' performance is demonstrated on test problems from the literature, and the results are promising.
Keywords
- Non-smooth Optimization
- Programming, Nonlinear
- Algorithms
Status: accepted
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