1 |
The Pareto optimal robust design of generalized-order PI controllers based on the decentralized structure for multivariable processes Chuong VL, Vu TNL, Truong NTN, Jung JH Korean Journal of Chemical Engineering, 39(4), 865, 2022 |
2 |
Enhancing the performance of a parallel nitrogen expansion liquefaction process (NELP) using the multi-objective particle swarm optimization (MOPSO) algorithm Mofid H, Jazayeri-Rad H, Shahbazian M, Fetanat A Energy, 172, 286, 2019 |
3 |
Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability Ghorbani N, Kasaeian A, Toopshekan A, Bahrami L, Maghami A Energy, 154, 581, 2018 |
4 |
Investigating the effect of properties variation in optimum design of compact heat exchanger using segmented method Hajabdollahi H, Hajabdollahi Z Chemical Engineering Research & Design, 112, 46, 2016 |
5 |
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 |
6 |
Calorimetric determination of enthalpy changes for the proton ionization of 3-[N-morpholino]propanesulfonic acid (MOPS), 4-[N-morpholino]butanesulfonic acid (MOBS) and 3-[N-morpholino]-2-hydroxypropanesulfonic acid (MOPSO) in water-methanol mixtures Jumean FH, Abdo NM, Khamis MI Thermochimica Acta, 524(1-2), 194, 2011 |