Global optimization algorithms applied to solve a multi-variable inverse artificial neural network to improve the performance of an absorption heat transformer with energy recycling.
Jesús Emmanuel Solís PérezJosé Francisco Gómez-AguilarJ. A. HernándezRicardo Fabricio Escobar-JiménezE. Viera-MartinR. A. Conde-GutiérrezU. Cruz-JacoboPublished in: Appl. Soft Comput. (2019)
Keyphrases
- global optimization
- artificial neural networks
- optimization problems
- imperialist competitive algorithm
- particle swarm optimization
- inverse problems
- neural network
- learning algorithm
- global search
- ant colony algorithm
- image completion
- search algorithm
- power system
- hybrid algorithm
- optimization methods
- global solution