Table 1 Comparison of optimization algorithms.

From: Spectral optimization of supercontinuum shaping using metaheuristic algorithms, a comparative study

 

Genetic algorithm (GA)

Particle Swarm Optimization (PSO)

Simulated annealing (SA)

Optimization approach

Evolutionary

Swarm intelligence

Stochastic local search

Population based

Yes

Yes

No

Inspiration source

Genetics and natural selection

Flocking behavior of birds/fish

Annealing process

Main parameters

Population (25), generation (75), mutation (M = 0.8), crossover (C = 0.9)

Swarm size (25), social and weights velocities (c1= 1.5, c2 = 1.5) (w = [2:0,1])

Temperature (T = 100), cooling parameter ( \(\alpha\)= 0.95)