A new hybrid algorithm of scatter search and Nelder–Mead algorithms to optimize joint economic lot sizing problem

作者：

Highlights：

• It introduces a new hybrid algorithm of Nelder–Mead and scatter search algorithms.

• The new algorithm is able to find global optimal solution of constrained problems.

• It considers joint economic lot sizing problem with price-sensitive demand.

• It models lot sizing problem for three shipment policies that were not modeled yet.

• It develops solution procedures based on the new algorithm to solve the models.

摘要

•It introduces a new hybrid algorithm of Nelder–Mead and scatter search algorithms.•The new algorithm is able to find global optimal solution of constrained problems.•It considers joint economic lot sizing problem with price-sensitive demand.•It models lot sizing problem for three shipment policies that were not modeled yet.•It develops solution procedures based on the new algorithm to solve the models.

论文关键词：Nelder–Mead algorithm,Scatter search algorithm,Global constrained optimization,Joint economic lot size problem,Price-sensitive demand,Shipment policy

论文评审过程：Received 29 November 2014, Revised 9 June 2015, Available online 29 July 2015, Version of Record 7 August 2015.

论文官网地址：https://doi.org/10.1016/j.cam.2015.07.027