Open Science Research Excellence
@article{(International Science Index):,
  title    = {A Multi-Objective Optimization Model to the
Integrating Flexible Process Planning And
Scheduling Based on Modified Particle Swarm
Optimization Algorithm (MPSO)},
  author    = {R. Sahraian and  A. Karampour Haghighi and  E. Ghasemi},
  country   = {},
  abstract  = {Process planning and production scheduling play
important roles in manufacturing systems. In this paper a multiobjective
mixed integer linear programming model is presented for
the integrated planning and scheduling of multi-product. The aim is
to find a set of high-quality trade-off solutions. This is a
combinatorial optimization problem with substantially large solution
space, suggesting that it is highly difficult to find the best solutions
with the exact search method. To account for it, a PSO-based
algorithm is proposed by fully utilizing the capability of the
exploration search and fast convergence. To fit the continuous PSO
in the discrete modeled problem, a solution representation is used in
the algorithm. The numerical experiments have been performed to
demonstrate the effectiveness of the proposed algorithm.},
  {International Journal of Industrial and Manufacturing Engineering },  volume    = {5},
  number    = {7},
  year      = {2011},
  pages     = {1535 - 1542},
  ee        = {},
  url       = {},
  bibsource = {},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 55, 2011},