In order to further investigate the performance of MBO method, it is further investigated on twenty-five higher-dimensional functions. Population size and maximum generations are set to 100. For other parameters used in this section, they are the same as the Sect. 4.1, except the dimension of test … Meer weergeven The performance of MBO was compared with five optimization methods (ABC [13], ACO [11], BBO [45], DE [40] and SGA [42]) on thirty-eight optimization problems. For the parameters used in the other methods, their … Meer weergeven Based on the final search results of 200 independent trials on thirty-eight functions, Table 3 presents the t values on thirty-eight functions of the two-tailed test with the 5 % level of significance between the MBO and … Meer weergeven In order to further investigate the performance of MBO method, fitness evaluations are also studied from the following two … Meer weergeven Web11 apr. 2024 · The moth search algorithm (MS) is a relatively new metaheuristic optimization algorithm which mimics the phototaxis and Lévy flights of moths. Being an NP-hard problem, the 0–1 multidimensional knapsack problem (MKP) is a classical multi-constraint complicated combinatorial optimization problem with numerous applications.
Parameter Estimation of Fuel Cells Using a Hybrid Optimization Algorithm
Web1 feb. 2024 · Butterfly optimization algorithm (BOA) is a recent bio-inspired technique that emulates butterflies’ foraging which is based on their sense of smell to determine the … WebThe performance of the hybrid ANFIS-IAVOA model is compared with an ANFIS and its hybrid versions using original AVOA, honey badger algorithm (ANFIS-HBA), grey wolf optimizer (ANFIS-GWO), monarch butterfly optimization (ANFIS-MBO), and black widow optimization (ANFIS-BWO) models. christ chapel fort worth live service
An effective discrete monarch butterfly optimization algorithm …
Web14 apr. 2024 · The modelling of PEMFC and parameter estimation was done using an optimization algorithm, known as the grouping-based global harmony search (GGHS) algorithm [ 12 ], based on the improvisation of a new harmony and using the best harmonies efficiently for finding an optimum solution. WebAccordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be … WebMonarch butterfly optimization is novel swarm intelligence approach and it was not tested on this or similar problems before. We adjusted basic implementation of the monarch … geometry of human body