Optimization of regenerative cycle with open feed water heater using genetic algorithms and neural networks

Journal of Thermal Analysis and Calorimetry

Volumn 100, Issue 3, 2010, Pages 757-761

  Moghadassi, A R ^a   Parvizian, F ^a   Abareshi, B ^a   Azari, F ^a   Alhajri, I ^b  

^a ARAK UNIVERSITY   (Iran)

^b Educational Shuwaikh   (Kuwait)

Author keywords

Artificial neural network; Genetic algorithm; Maximum work; Rankin cycle

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ARTIFICIAL NEURAL NETWORKS; CLASSICAL METHODS; NONLINEAR FUNCTIONS; OBJECTIVE FUNCTIONS; OPERATING CONDITION; REGENERATIVE CYCLE; STEAM PROPERTIES; SUBOPTIMAL SOLUTION; THERMODYNAMICAL CYCLE;

GENETIC ALGORITHMS; OPTIMIZATION; WATER HEATERS; WATER VAPOR;

NEURAL NETWORKS;

EID: 77954887770     PISSN: 13886150     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10973-010-0727-7     Document Type: Conference Paper

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