Identifying the Parameters of Cole Impedance Model Using Magnitude Only and Complex Impedance Measurements: A Metaheuristic Optimization Approach

Plant Stem Tissue Modeling and Parameter Identification using Meta-heuristic Optimization Algorithms

“…As mentioned in the literature FPA and CS optimization algorithms are used before in bio-impedance parameter extraction problems and showed a good performance, while WCA and CSO are used for the first for such problems. Figure 5 shows a summary flowchart for these optimizations, the detailed information are in [47][48][49] . The extracted parameters from the four optimization techniques are collected for each experiment for all models.…”

“…Recently, meta-heuristic optimization algorithms, which are inspired by natural phenomena, showed a successful employment for the bio-impedance parameter extraction problems 46,47 . Meta-heuristic are used to mimic the intelligence-gathering behaviour of water cycle 48 , pollination process in plant 47 , chicken behaviour in swarm 49 , hunting behaviour of grey wolfs 50 , and many others. They are used to overcome the defecates and difficulties that face the traditional optimization methods in solving some of the optimization problems 47 .…”

“…Meta-heuristic are used to mimic the intelligence-gathering behaviour of water cycle 48 , pollination process in plant 47 , chicken behaviour in swarm 49 , hunting behaviour of grey wolfs 50 , and many others. They are used to overcome the defecates and difficulties that face the traditional optimization methods in solving some of the optimization problems 47 . In 33 , flower pollination algorithm (FPA) and moth flame optimization (MFO) were used to extract the Cole-impedance model parameters and compared with the traditional nonlinear least square (NLS).…”

“…Also, the FPA achieved the best accuracy and consistency over the other employed optimization (NLS,MFO), while the NLS technique was the fastest. In 47 , six different meta-heuristic optimizations were used to extract the Cole-impedance model parameters using two different datasets magnitude only impedance measurements and complex impedance measurements. It was found that Cuckoo search optimization (CS) and FPA algorithms had a better fitting for the experimental datasets, less error and higher consistency than the other used algorithms.…”

Plant Tissue Modelling Using Power-Law Filters

“…Recently, meta-heuristic optimization algorithms were used to overcome these shortcomings. Meta-heuristic algorithms have aided in solving many optimization problems [ 25 , 26 ] and proved higher efficiency in the extraction of impedance models’ parameters [ 23 ]. Meta-heuristic algorithms are inspired by natural and biological activities such as water flow from rivers into sea [ 27 ], life habits of the red fox [ 28 ], mating behaviour of black widow spiders [ 29 ], decency behaviour of wild horses [ 30 ], and flight behaviour of Mayflies [ 31 ].…”