Numerical Solution of Optimization Test-Cases by Genetic Algorithms
Overview & Synopsis
In this report, we present the numerical solution of four optimization problems by Genetic Algorithms (GAs). The test-cases involve two single-object- ive and two multi-objective optimization problems. In all four cases, the analytical functions to be optimized present a large number of local optima and the GA is demonstrated to be the most adequate optimizer. These four test-cases are part of the database developed within the INGENET European thematic network.
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Document Information
| Document Title | Numerical Solution of Optimization Test-Cases by Genetic Algorithms |
|---|---|
| Author / Organization | Nathalie Marco-Blaszka, Jean-Antoine Desideri |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 1999 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-69729 |
| Original Source Link | Visit Source Page on hal.science » |