Abstract
To reduce a large amount of calculation cost and to improve the convergence to the optimal solution for multi-peak optimization problems with multidimensions, we purpose a new method of Adaptive plan system with Genetic Algorithm (APGA). This is an approach for improving Particle Swarm Optimization (PSO) using APGA. The new strategy based on PSO operator and APGA (PSO-APGA) to improve the convergence towards the optimal solution. The PSOAPGA is applied to some benchmark functions with 20 dimensions to evaluate its performance.
| Original language | English |
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| Pages | 249-254 |
| Number of pages | 6 |
| Publication status | Published - 2011 |
| Event | 10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 - Rome, Italy Duration: 2011 Sept 12 → 2011 Sept 14 |
Conference
| Conference | 10th International Conference on Modeling and Applied Simulation, MAS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 |
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| Country/Territory | Italy |
| City | Rome |
| Period | 11/9/12 → 11/9/14 |
Keywords
- Adaptive system
- Genetic algorithm
- Multi-peak problems
- Particle swarm optimization
ASJC Scopus subject areas
- Modelling and Simulation