MAKHA – A new hybrid stochastic optimization method for phase equilibrium calculations
Seif‐Eddeen K. Fateen, Ahmed M.E. Khalil, Ragab K. Abdel-Magied · 2014
The search for reliable and efficient global optimization algorithms for solving phase stability and phase equilibrium problems in applied thermodynamics is an ongoing area of research. In this study, we introduce a new algorithm, MAKHA, which is a hybrid between Monkey Algorithm (MA and Krill Herd Algorithm (KHA). Its performance is compared with the two original algorithms along with Cuckoo Search for solving difficult phase stability and phase equilibrium problems. The results MAKHA is more reliable than the original two algorithms. However, its reliability could not exceed the reliability of CS. In summary, MAKHA is a promising natureinspired optimization method to perform applied thermodynamic calculations for process design. Keywords—Phase Equilibrium; Phase Stability; Stochastic Global Optimization; Monkey Algorithm; Krill Herd Algorithm; Cuckoo Search