Solving the Multisensor Resource Scheduling Problem for Missile Early Warning by a Hybrid Discrete Artificial Bee Colony Algorithm

Table 6

Parameter settings of all algorithms for the medium-scale scenario.

Algorithms	Parameter setting
HDABC	Parameter settings are the same as in Table 4.
IGA	The population is 50, the largest genetic iterations is 500, the length of chromosome is 120, the crossover probability is 0.9, is 0.6, the mutation probability is 0.1, and is 0.01.
SAPPSO	The number of particles is 50, the total number of iterations is 500, the particle dimension is 180, and the weight factor of particle update is 0.5.
PSO-VNS	The population size is 120, the maximum number of iterations is 200, the inertia weight is 0.9, the learning factor is 2, is 2, the period of evolutionary stagnation is 10, the number of elite solutions is 25, and the maximum number of iterations in VNS is 5.