Improved grasshopper optimization algorithm
Witryna11 kwi 2024 · For the period and trend terms of the sequence, the autonomous search grasshopper optimization algorithm (ASGOA) is employed to train the parameters of the HMM, which avoids the problems of easily falling into local optima and the dependence on the initial value in the parameter training process. Witryna30 mar 2024 · Grey wolf optimizer (GWO) is a new meta-heuristic algorithm. The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Three main stages of hunting include: encircling, tracking and attacking. It is easy to fall into local optimum when used to optimize high-dimensional data, and there is …
Improved grasshopper optimization algorithm
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Witryna14 kwi 2024 · Another optimization algorithm, i.e., Grasshopper Optimization algorithm (GOA) , was applied in order to find the optimum values of the unknown parameters for PEMFC. GOA is inspired by the behavior of grasshopper groups in the surrounding environment. ... Finally, hybrid algorithms can also provide improved … Witryna31 maj 2024 · The improved algorithm is tested on 23 benchmark test functions. Wilcoxon rank-sum and Friedman tests are used to verify the algorithm’s validity. …
Witryna14 kwi 2024 · An improved whale optimization algorithm is proposed to solve the problems of the original algorithm in indoor robot path planning, which has slow … Witryna10 kwi 2024 · This study suggests a new and effective improved optimizer via a TFWO algorithm (turbulent flow of water-based optimization), namely the ITFWO algorithm, to solve non-linear and non-convex OPF problems in energy networks with integrated solar photovoltaic (PV) and wind turbine (WT) units (being environmentally friendly …
Witryna14 kwi 2024 · A new optimizer was proposed by combining IHS, an improved HS that has shown a good performance among various metaheuristic optimization algorithms, with existing optimizers. MLP combined with the new optimizer was applied to the inflow prediction of a CR, the results of which were compared with those of existing … Witryna7 cze 2024 · In this paper, a recently invented grasshopper optimization algorithm is upgraded from its original version. The method is improved by adding an elite opposition-based learning methodology...
Witryna1 mar 2024 · The Grasshopper Optimisation Algorithm is proposed in Section 2. Section 3 presents and discusses the results on the optimisation test beds and inspects the behaviour of the proposed algorithm. Section 4 contains the application of the proposed method in the field of structural design optimisation.
Witryna9 gru 2024 · Grasshopper optimization algorithm (GOA) proposed in 2024 mimics the behavior of grasshopper swarms in nature for solving optimization problems. In the … ca northwest pathways to peaceWitrynaGrasshopper optimization algorithm (GOA) is a recently proposed meta-heuristic algorithm inspired by the swarming behav-ior of grasshoppers. The original GOA … flaked wheat foamWitryna7 cze 2024 · Optimizing real-life engineering design problems are challenging and somewhat difficult if optimum solutions are expected. The development of new … can orthotics help back painWitryna19 cze 2024 · Aiming at the characteristics of high computational cost, implicit expression and high nonlinearity of performance functions corresponding to large and complex … flaked wheat cereal subsititueWitryna15 mar 2024 · This paper develops a multi-objective grasshopper optimization algorithm (MOGOA) with a new proposed framework called the Multi-group and Co-evolution Framework which can archive a fine balance between exploration and … flaked wet cat foodWitrynaThe grasshopper optimization algorithm (GOA) is a new meta-heuristic algorithm inspired by the behavior of grasshopper groups. Aiming at the shortcomings of … can orthworm evolveWitrynaThe improved optimization algorithm is mainly divided into two types: one is to improve the core formula of the optimization algorithm by using the strategy … canosa twitter