[Retracted] Optimization Model of Logistics Task Allocation Based on Genetic Algorithm

Table 1

Correspondence between the basic concepts of biological genetics and the role of genetic algorithm.

Meaning of biological heredity	Functions of genetic algorithm
Survival of the fittest	After the algorithm is completed, the answer of the best target value is very likely to remain
Group	A group of solutions selected (the number of solutions at this time represents the size of the population)
Mating	Those who obtain a new set of solutions with the help of the cross principle will not go
Population	A set of solutions obtained according to the value of fitness function
Variation	A program in which a single component corresponding to the code changes
Chromosome	Encoding of solution (string and other related contents)
Gene	Eigenvalue of single component in solution
Threshold	Set the criteria for completing the search
Adaptability	Fitness function data
Individual	Solution