Neutrosophic Cost Pattern of Inventory System with Novel Demand Incorporating Deterioration and Discount on Defective Items Using Particle Swarm Algorithm
Algorithm 1
Proposed PSO algorithm for the inventory model.
(1)
Read: Swarm Population (SwarmP), Maximum Iteration (MaxI), particle(i).Velocity , particle(i).Position , particle(i).Best.Position , Global Best.Position , particle(i).Cost , particle(i).Best.Cost , Global Best.Cost ,
(2)
Set the objective function:
(a)
; (Optimum for ),
(b)
; (Optimum for ).
(3)
Set the parameters of PSO for Inventory system:
(a)
,,,,.
(b)
Set coefficient of inertia, ; the damping ratio of inertial coefficient ,, and .
(c)
Set inventory parameters as .
(4)
Define the structure of void particles:
(a)
Set ,,,, and .
(b)
Create vector of void particles of size equal to SwarmP.
(c)
Set initial = .
(5)
Initialize the population member: For to SwarmP initiate and .
(6)
Estimate and evaluate:
(a)
Set , find , and .
(b)
then .
(c)
.
(7)
Optimize and update for every iteration:
(a)
For to MaxI, and for to SwarmP update the velocity and position.
(b)
.
(c)
.
(d)
If , then set ; .
(e)
If , then set ;
(8)
Set up the global best cost:
(a)
.
(b)
Set and continue the iteration by going back to 6.
