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Complexity
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2019
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Article
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Tab 2
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Research Article
Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive Device
Table 2
Controllable parameters for MOGA algorithm.
Parameters
Value
Number of initial samples
100
Number of samples per iteration
100
Maximum allowable Pareto percentage
70
Convergence stability percentage
2
Maximum number of iterations
20
Maximum number candidates
6
Crossover probability
0.7
Mutation probability
0.01