Mathematical Problems in Engineering / 2018 / Article / Tab 2

Research Article

An Efficient Hybrid Approach of Finite Element Method, Artificial Neural Network-Based Multiobjective Genetic Algorithm for Computational Optimization of a Linear Compliant Mechanism of Nanoindentation Tester

Table 2

Controllable parameters for MOGA algorithm.

ParametersRange of value

Population size20-100
Number of generations50-150
Crossover probability0.2-0.9
Mutation probability0.01-0.02
Maximum number candidates3

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