Constraint Programming Base on Improved QPSO Algorithm
XU Wen-long · Microcomputer Information · 2009
An new and practical solution, that is Quantumbehaved Particle Swarm Optimization algorithm with weighted aggregation, is applied to nonlinear Constraint Programming. WAQPSO algorithm can solve multi-objective optimization problem effectively. Experiment results of emluator show that WAPSO algorithm provides a much better effect than S -PAES algorithm and HM algorithm on Constraint Programming.