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Genetic Algorithms for Optimization
Published in Adrian A. Hopgood, Intelligent Systems for Engineers and Scientists, 2021
Truncation selection is a variant of rank selection. Here a cutoff rank position rank0 is chosen in advance and the scaled fitness becomes: si=1N−rank0+1ifranki≥rank00ifranki<rank0
Optimization
Published in Slobodan P. Simonović, Managing Water Resources, 2012
Compared with the previous selection methods modelling natural selection, truncation selection is an artificial selection method. It is used for large populations or mass selection. In truncation selection individuals are sorted according to their fitness. Only the best individuals are selected to be parents. These selected parents produce uniform at random offspring. The parameter for truncation selection is the truncation threshold Trunc. Trunc indicates the proportion of the population to be selected as parents, and takes values ranging from 50 per cent to 10 per cent. Individuals below the truncation threshold do not produce offspring.
An integrated location-inventory problem in a closed-loop supply chain with third-party logistics
Published in International Journal of Production Research, 2018
Yanhui Li, Hao Guo, Ying Zhang
The selection operator is used to select individuals and generate a new population after mutation and crossover operators are executed to created new individuals. In a selection process, individuals are measured by their objective values. Usually, better individuals are more likely to be selected for the new population. In this paper, truncation selection (Mühlenbein and Schlierkamp-Voosen 1993) in GA is also incorporated to produce new populations, and the details are as follows:Step1: Generate a new population by the equation below: