A Layer Hybrid Intelligent Algorithm for Solving Resources Scheduling Problem
| Autor: | Zi Hui Ren, Yun Jie Ma, Ping Zhu |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Meta-optimization Job shop scheduling Wake-sleep algorithm Dinic's algorithm Computer science Population-based incremental learning ID3 algorithm Particle swarm optimization General Medicine Algorithmics Genetic algorithm Algorithm design Difference-map algorithm Algorithm FSA-Red Algorithm |
| Zdroj: | Applied Mechanics and Materials. :1506-1509 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.644-650.1506 |
| Popis: | A New hybrid intelligent algorithm is used to solve the resources scheduling problem. This new algorithm contains Adaptive Particle Swarm Optimization (APSO) algorithm and Modified Genetic Algorithm (MGA) and Machine Learning (ML) algorithm, MGA is used to realize global searching, APSO is used to get the local searching. The choose processing depend on the definite of information in ant algorithm. Machine learning principle was proposed, after some iteration, the part of the optimal solution was deserved. Then we search the optimal solution in each layer. Simulational results based on the well-known benchmark suites in the literature showed that the algorithm had better optimization performance. |
| Databáze: | OpenAIRE |
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