New stochastic models for capacitated location-allocation problem

  • Authors:
  • Jian Zhou;Baoding Liu

  • Affiliations:
  • Uncertainty Theory Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing 100084, People's Republic of China;Uncertainty Theory Laboratory, Department of Mathematical Sciences, Tsinghua University, Beijing 100084, People's Republic of China

  • Venue:
  • Computers and Industrial Engineering
  • Year:
  • 2003

Quantified Score

Hi-index 0.01

Visualization

Abstract

Capacitated location-allocation problem with stochastic demands is originally formulated as expected value model, chance-constrained programming and dependent-chance programming according to different criteria. For solving these stochastic models efficiently, the network simplex algorithm, stochastic simulation and genetic algorithm are integrated to produce a hybrid intelligent algorithm. Finally, some numerical examples are presented to illustrate the effectiveness of the proposed algorithm.