Multiobjective Simulation-Based Optimization Based on Artificial Immune Systems for a Distribution Center

Table 1

Mapping between the biological immune system and SCMIA.

Biological Immune System	SCMIA
Antigen (Ag)	Objective function (simulation model in simulation study) to be optimized
Antibody (Ab)	Candidate solution (a set of decision variables) to be optimized
Ag-Ab affinity	Fitness value of each candidate solution evaluated based on Pareto dominance
Ab-Ab affinity	Crowding-distance proposed by Deb et al. [6] working as a measure of population diversity
Immune suppression	Mechanism to control the number of nearby candidate solutions based on similarity among candidate solutions in both the objective space and decision variable space
Memory cell	Current best nondominated solution