Research Article

Swarming Computational Procedures for the Coronavirus-Based Mathematical SEIR-NDC Model

Table 1

Optimization PSOSQP scheme for the mathematical SEIR-NDC system.

PSO procedure
 [Inputs]: The chromosomes are presented as W = [ , ].
 [Population]: Chromosome sets are presented as
, where , , , , , and .
 [Output]: Best PSO weights are denoted as WBPSO.
 Initialization: The collection of chromosomes represents the WBPSO values.
 [Fitness Valuation]: Adjust the fitness () using the population [P] through systems 4–12.
(i) [Terminating Standards]: Terminate the process, when the below criteria meets, [TolCon = 10–19], [Generations = 120], [  = 10–19], [TolFun = 10–21], [StallLimit = 110], and [Size of population = 210].
 Move to [storage].
 [Ranking]: WBPSO shows the population rank for .
 [Storage]: [WBPSO], , [iterations], [time], and [Counts of function] for PSO.
[PSO] process ends.

[SQP] process starts.
 [Inputs]: WBPSO.
 [Output]: WPSOSQP represents the best values of the weights.
 [Initialize]: WPSOSQP, Iterations and Assignments.
 [Stopping rules]: [Iterations = 170], [  = 10–20], [Max-Fun-Evals = 170000] and [TolFun = 10–19], [Tol-X = 10–22].
 [FIT Calculation]: Compute [WBPSO] and through equations (5)–(13).
 [Amendments]: Regulate [fmincon] for SQP, to perform the ‘W’ for equations (5)–(13).
 [Store]: Transform WBPSO,nt.
[SQP] process ends.