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Table 3:
Parameters in AMSO, where was used to start the AMSO algorithm.
ParameterTypeValue
Overlapping ratio (Constant 0.5 
Convergence threshold (Constant 1 
Trace gap (Constant 1,500
Population adjustment step size (Constant 10 individuals 
Population decrease threshold (Constant 
Maximum individuals (Constant 300 
Minimum individuals (Constant 70 
Maximum individuals in a sub-pop (Constant 
PSO:inertia weight (Constant 0.6 
PSO:acceleration constants ( = Constant 1.7 
Initial population size (Variable 100 
Number of populations Adaptive — 
Number of total individuals Adaptive — 
Population radius Variable — 
Frequency of diversity increase Adaptive — 
ParameterTypeValue
Overlapping ratio (Constant 0.5 
Convergence threshold (Constant 1 
Trace gap (Constant 1,500
Population adjustment step size (Constant 10 individuals 
Population decrease threshold (Constant 
Maximum individuals (Constant 300 
Minimum individuals (Constant 70 
Maximum individuals in a sub-pop (Constant 
PSO:inertia weight (Constant 0.6 
PSO:acceleration constants ( = Constant 1.7 
Initial population size (Variable 100 
Number of populations Adaptive — 
Number of total individuals Adaptive — 
Population radius Variable — 
Frequency of diversity increase Adaptive — 
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