| 1 |
Developing a novel methodology based on the adaptive neuro-fuzzy interference system for the exergoeconomic optimization of energy systems
Sayyaadi H, Baghsheikhi M
Energy, 164, 218, 2018 |
| 2 |
Multi-objective optimization of a solar-hybrid cogeneration cycle: Application to CGAM problem
Soltani R, Keleshtery PM, Vahdati M, KhoshgoftarManesh MH, Rosen MA, Amidpour M
Energy Conversion and Management, 81, 60, 2014 |
| 3 |
Implementing of the multi-objective particle swarm optimizer and fuzzy decision-maker in exergetic, exergoeconomic and environmental optimization of a benchmark cogeneration system
Sayyaadi H, Babaie M, Farmani MR
Energy, 36(8), 4777, 2011 |
| 4 |
Multi-objective self-adaptive algorithm for highly constrained problems: Novel method and applications
Hammache A, Benali M, Aube F
Applied Energy, 87(8), 2467, 2010 |
| 5 |
A new thermoeconomic methodology for energy systems
Kim DJ
Energy, 35(1), 410, 2010 |
| 6 |
Multi-objective approach in thermoenvironomic optimization of a benchmark cogeneration system
Sayyaadi H
Applied Energy, 86(6), 867, 2009 |
| 7 |
Optimal design of gas turbine CHP plant with preheater and HRSG
Sanaye S, Ziabasharhagh M, Ghazinejad M
International Journal of Energy Research, 33(8), 766, 2009 |
| 8 |
Dynamic multiobjective optimization of large-scale industrial production systems: An emerging strategy
Benali M, Hammache A, Aube F, Dipama J, Cantave R
International Journal of Energy Research, 31(12), 1202, 2007 |
| 9 |
Cost attribution methodologies in cogeneration systems
Cerqueira SAAD, Nebra SA
Energy Conversion and Management, 40(15-16), 1587, 1999 |
| 10 |
The impact of the model of the environment in exergy analyses
Munoz JR, Michaelides EE
Journal of Energy Resources Technology-Transactions of The ASME, 121(4), 268, 1999 |
