Shape Optimization Using Hybrid GA-ACO Method and Grid-Free CFD Solver

Autor:	G. N. Sashi Kumar, S. V. Raghurama Rao, A. K. Mahendra
Rok vydání:	2007
Předmět:	Mathematical optimization Engineering Global optimum Validation test business.industry Ant colony optimization algorithms Genetic algorithm Shape optimization Solver Computational fluid dynamics Grid business
Zdroj:	18th AIAA Computational Fluid Dynamics Conference.
DOI:	10.2514/6.2007-3830
Popis:	This paper introduces a new hybrid shape optimization method using Genetic Algorithm (GA) and Ant Colony Optimization (ACO) coupled with a meshless Computational Fluid Dynamics (CFD) solver. This method converges faster to a better optimum compared to GA-CFD or ACO-CFD individually. This hybrid optimiser is a good contender when a global optimum is the target. The efficiency of the hybrid shape optimization method (GA-ACO-CFD) is demonstrated through two validation test cases.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::eee40d055f61f0d56b7d903d5e97e303 https://doi.org/10.2514/6.2007-3830 Zobrazit plný text záznamu