TY - JOUR ID - 72358 TI - Three Meta-heuristic Algorithms for the Single-item Capacitated Lot-sizing Problem (RESEARCH NOTE) JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Mehdizadeh, Esmaeil AU - Fatehi Kivi, Amir AD - Industral Engineering, Qazvin Branch, Islamic Azad University AD - Industrial Engineering, Islami Azad University, Qazvin Branch Y1 - 2014 PY - 2014 VL - 27 IS - 8 SP - 1223 EP - 1232 KW - Lot KW - Sizing KW - Safety stocks KW - Simulated Annealing KW - Vibration‌ damping optimization KW - harmony search DO - N2 - This paper proposes a mixed integer programming model for single-item capacitated lot-sizing problem with setup times, safety stock, demand shortages, outsourcing and inventory capacity. Due to the complexity of problem, three meta-heuristics algorithms named simulated annealing (SA), vibration damping optimization (VDO) and harmony search (HS) have been used to solve this model. Additionally, Taguchi method is conducted to calibrate the parameters of the meta-heuristics and select the optimal levels of the algorithm’s performance influential factors. Computational results on a set of randomly generated instances show the efficiency of the HS against VDO and SA. UR - https://www.ije.ir/article_72358.html L1 - https://www.ije.ir/article_72358_07578af8ad76297fe9c2548709476aa6.pdf ER -