کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
469587 698334 2009 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Solving uncapacitated multilevel lot-sizing problems using a particle swarm optimization with flexible inertial weight
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Solving uncapacitated multilevel lot-sizing problems using a particle swarm optimization with flexible inertial weight
چکیده انگلیسی

The multilevel lot-sizing (MLLS) problem is a key production planning problem in materials requirements planning (MRP) system. The MLLS problem deals with determining the production lot-sizes of various items appearing in the product structure over a given finite planning horizon to minimize the production cost, the inventory carrying cost, the back ordering cost and etc. This paper proposed a particle swarm optimization (PSO) algorithm for solving the uncapacitated MLLS problem with assembly structure. All the mathematical operators in our algorithm are redefined and the inertial weight parameter can be either a negative real number or a positive one. The feasibility and effectiveness of our algorithm are investigated by comparing the experimental results with those of a genetic algorithm (GA).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Mathematics with Applications - Volume 57, Issues 11–12, June 2009, Pages 1748–1755
نویسندگان
, , , ,