رسالة جامعية
Shadow Price Guided Genetic Algorithms
| العنوان: | Shadow Price Guided Genetic Algorithms |
|---|---|
| المؤلفون: | Shen, Gang |
| المصدر: | Computer Science Dissertations. |
| بيانات النشر: | Digital Archive @ GSU, 2012. |
| سنة النشر: | 2012 |
| المجموعة: | Georgia State University |
| مصطلحات موضوعية: | Genetic algorithm, Shadow price, Optimization, Performance, Hybrid |
| الوصف: | The Genetic Algorithm (GA) is a popular global search algorithm. Although it has been used successfully in many fields, there are still performance challenges that prevent GA’s further success. The performance challenges include: difficult to reach optimal solutions for complex problems and take a very long time to solve difficult problems. This dissertation is to research new ways to improve GA’s performance on solution quality and convergence speed. The main focus is to present the concept of shadow price and propose a two-measurement GA. The new algorithm uses the fitness value to measure solutions and shadow price to evaluate components. New shadow price Guided operators are used to achieve good measurable evolutions. Simulation results have shown that the new shadow price Guided genetic algorithm (SGA) is effective in terms of performance and efficient in terms of speed. |
| Original Identifier: | oai:digitalarchive.gsu.edu:cs_diss-1063 |
| نوع الوثيقة: | Text |
| وصف الملف: | application/pdf |
| الإتاحة: | http://digitalarchive.gsu.edu/cs_diss/64Test http://digitalarchive.gsu.edu/cgi/viewcontent.cgi?article=1063&context=cs_dissTest |
| رقم الانضمام: | edsndl.GEORGIA.oai.digitalarchive.gsu.edu.cs.diss.1063 |
| قاعدة البيانات: | Networked Digital Library of Theses & Dissertations |
| الوصف غير متاح. |