Evolutionary Computation and Its Applications in Neural and Fuzzy Systems

Algorithm 1

Principle of EA.

Algorithm  EA

 (1) Set 𝑡=0.

 (2) Randomize initial population 𝒫(0).

 (3) Repeat until the termination criterion is satisfied:

   (a) Evaluate fitness of each individual in 𝒫(𝑡).

   (b) Select individuals as parents from 𝒫(𝑡) based on fitness.

   (c) Apply crossover on the parents, and generate 𝒫^′(𝑡+1).

   (d) Apply mutation on 𝒫^′(𝑡+1), and generate 𝒫(𝑡+1).

   (e) Set 𝑡=𝑡+1.