Structural properties and algorithms for earliness and tardiness scheduling against common due dates and windows: A review

GA Rolim, MS Nagano - Computers & Industrial Engineering, 2020 - Elsevier
This paper deals with earliness and tardiness scheduling around common due dates and
windows. Related problems share a strong practical importance due to the endogenous and …

Heuristic and metaheuristic methods for the parallel unrelated machines scheduling problem: a survey

M Ɖurasević, D Jakobović - Artificial Intelligence Review, 2023 - Springer
Scheduling has an immense effect on various areas of human lives, be it though its
application in manufacturing and production industry, transportation, workforce allocation, or …

A mathematical model and heuristic algorithms for an unrelated parallel machine scheduling problem with sequence-dependent setup times, machine eligibility …

G Bektur, T Saraç - Computers & Operations Research, 2019 - Elsevier
Parallel machine scheduling problems with common servers have many industrial
applications. In this paper, we study a generalized problem of scheduling with a common …

Enhanced intelligent water drops and cuckoo search algorithms for solving the capacitated vehicle routing problem

E Teymourian, V Kayvanfar, GHM Komaki… - Information Sciences, 2016 - Elsevier
The capacitated vehicle routing problem (CVRP) is investigated in this research. To tackle
this problem, four state-of-the-art algorithms are employed: an improved intelligent water …

Using list-based simulated annealing and genetic algorithm for order batching and picker routing in put wall based picking systems

E Ardjmand, OS Bajgiran, E Youssef - Applied Soft Computing, 2019 - Elsevier
A put wall is a hardware composed of containers that is usually used as a sorting station. In
this study, the order picking operations, including order batching and picker routing, in a put …

A two-level parallel decomposition-based artificial bee colony method for dynamic multi-objective optimization problems

Y Bai, C Zhang, W Bai - Applied Soft Computing, 2023 - Elsevier
Many real-world multiple-objective optimization problems have objectives that change over
time. These multiple-objective optimization problems are called dynamic multiple-objective …

A comparison of two stage-based hybrid algorithms for a batch scheduling problem in hybrid flow shop with learning effect

O Shahvari, R Logendran - International Journal of Production Economics, 2018 - Elsevier
This paper addresses the hybrid flow shop batch scheduling problem with sequence-and
machine-dependent family setup times where the objective is to simultaneously minimize …

Water‐Based Metaheuristics: How Water Dynamics Can Help Us to Solve NP‐Hard Problems

F Rubio, I Rodríguez - Complexity, 2019 - Wiley Online Library
Many water‐based optimization metaheuristics have been introduced during the last
decade, both for combinatorial and for continuous optimization. Despite the strong …

Robust possibilistic programming for multi-item EOQ model with defective supply batches: Whale Optimization and Water Cycle Algorithms

S Khalilpourazari, SHR Pasandideh… - Neural computing and …, 2019 - Springer
This paper proposes a new mathematical model for multi-product economic order quantity
model with imperfect supply batches. The supply batch is inspected upon arrival using “all or …

Optimization of multi-product economic production quantity model with partial backordering and physical constraints: SQP, SFS, SA, and WCA

S Khalilpourazari, SHR Pasandideh, STA Niaki - Applied Soft Computing, 2016 - Elsevier
A multi-product economic production quantity model with several real-world technical and
physical constraints is developed in this paper. The cost function includes ordering, holding …