Metaheuristic algorithms : new methods, evaluation, and performance analysis / Erik Cuevas [and three others].
Series: Studies in computational intelligence ; v. 1163.Publisher: Cham : Springer, [2024]Copyright date: ©2024Description: 297 pages : illustrations (some color) 24 cmContent type:- text
- unmediated
- volume
- 9783031630521
| Item type | Current library | Home library | Collection | Call number | Materials specified | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|---|---|
| AM | PERPUSTAKAAN LINGKUNGAN KEDUA | PERPUSTAKAAN LINGKUNGAN KEDUA KOLEKSI AM-P. LINGKUNGAN KEDUA | - | QA76.9.A43C843 3 (Browse shelf(Opens below)) | 1 | Available | 00002287434 |
-- Introduction to Metaheuristic methods. -- 2. A novel method for initializing populations using the Metropolis-Hastings (MH) technique. -- 3. A measure of diversity for metaheuristic algorithms employing population-based approaches. -- 4. Population Control in Metaheuristic Algorithms: Can Fewer Be Better?. -- 5. Exploration Paths Derived from Trajectories Extracted from Second-Order System Responses. -- 6. Utilizing the Moth Swarm Algorithm to Improve Image Contrast. -- 7. Enhancing Anisotropic Diffusion Filtering via Multi-Objective Optimization. -- 8. Fractional Fuzzy Controller Using Metaheuristic Techniques. -- 9. Striving for Optimal Equilibrium in Metaheuristic Algorithms: Is It Attainable?
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