Structural properties and algorithms for earliness and tardiness scheduling against common due dates and windows: A review
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 …
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 …
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 …
Parallel machine scheduling problems with common servers have many industrial
applications. In this paper, we study a generalized problem of scheduling with a common …
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
physical constraints is developed in this paper. The cost function includes ordering, holding …