Research Article

Solving Bilevel Multiobjective Programming Problem by Elite Quantum Behaved Particle Swarm Optimization

Table 1

The notations of the algorithm.

The th particle’s position of the upper level problem.
The th particle’s position of the lower level problem.
The th particle’s position of BLMPP.
The population size of the upper level problem.
The sub-swarm size of the lower level problem.
Current iteration number for the overall problem.
The predefined max iteration number for .
Current iteration number for the upper level problem.
Current iteration number for the lower level problem.
The predefined max iteration number for .
The predefined max iteration number for .
Non-domination sorting rank of the upper level problem.
Crowding distance value of the upper level problem.
Non-domination sorting rank of the lower level problem.
Crowding distance value of the lower level problem.
The th iteration population.
The offspring of .
Intermediate population.