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Table 1

Comparison of FSQGA, QGA and BEGA. Where n is the population size. FSQGA constructs the change rate of objective function of two adjacent generations. Due to the negative exponent characteristic of F N /F N+x, the time complexity decreases without increasing space complexity of the algorithm. Thus, FSQGA can enhance efficiency and reduce process time.

Algorithm Amplitudes of Δφ and Δθ Time complexity Space complexity
FSQGA 0.05π(FN /FN +x ) O(1) O(n 2)
BEGA (Zhang and Rong, 2007) Δφ = Δθ = 0.05π O(1) O(n 2
QGA (Zhao et al., 2004) 0.05π × e x O(cn ) O(n 3

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