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- W2364805213 abstract "The problem of multi-criterion optimal pricing model for perishable commodities is mainly studied.According to the principle of profit maximization and based on a discrete demand function,the multi-criterion optimal pricing model for the perishable products is established.Since the model involves some different stochastic distributions of several variables,which is difficult for the normal numerical methods to solve,the Quantum-behaved Particle Swarm Optimization(QPSO) algorithm with a penalty function is introduced to settle it.The experiment results show that by using QPSO method,the optimal prices and discount prices for different inventory levels can be derived quickly and effectively." @default.
- W2364805213 created "2016-06-24" @default.
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- W2364805213 date "2007-01-01" @default.
- W2364805213 modified "2023-09-23" @default.
- W2364805213 title "Quantum-behaved Particle Swarm Optimization for multi-criterion optimal pricing model" @default.
- W2364805213 hasPublicationYear "2007" @default.
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