Genetic Algorithm (GA) is one of the first population-based stochastic algorithm proposed in the history. Similar to other EAs, the main operators of GA are selection, crossover, and mutation. This chapter briefly presents this algorithm and applies it to several case studies to observe its performance.
|Title of host publication||Studies in Computational Intelligence|
|Number of pages||13|
|Publication status||Published - 1 Jan 2019|
|Name||Studies in Computational Intelligence|