Using Genetic Algorithms for Navigation Planning in Dynamic Environments

Table 1

Evolutionary algorithm parameters.

Selection method	Roulette wheel
Chromosome length	Variable
Cross-over rate	70–80%
Mutation rate	5–10%
Representation	Permutation based
Stopping criteria	Individual similarity
Population size	Proportional with the number of edges