Table 3 Mean fitness values, iterations and runtime.

From: Bio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments

Algorithm

 

\(F_{1}(x)\)

\(F_{2}(x)\)

\(F_{3}(x)\)

Mean

BPSO

Fitness value

0.0000

0.0000

0.0000

0.0000

Iteration

300.2

279.7

288.25

289.38

Runtime

0.2254

0.2099

0.2083

0.2145

PSO

Fitness value

0.0000

0.0000

0.0000

0.0000

Iteration

342.9

343.45

346.6

344.32

Runtime

0.2820

0.2817

0.3064

0.2900

GA

Fitness value

0.0000

0.0000

0.0000

0.0000

Iteration

499.2

498.7

498.2

498.7

Runtime

0.2411

0.2423

0.2680

0.2471

TS

Fitness value

0.0000

0.0000

0.0000

0.0000

Iteration

491.05

491.15

490

490.73

Runtime

0.3636

0.3626

0.3989

0.3750

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