[HTML][HTML] An updated survey of variants and extensions of the resource-constrained project scheduling problem

S Hartmann, D Briskorn - European Journal of operational research, 2022 - Elsevier
The resource-constrained project scheduling problem is to schedule activities subject to
precedence and resource constraints such that the makespan is minimized. It has become a …

Extensions of the resource-constrained project scheduling problem

H Ding, C Zhuang, J Liu - Automation in Construction, 2023 - Elsevier
The resource-constrained project scheduling problem (RCPSP) aims to schedule a set of
activities subject to resource and precedence constraints to minimize the project makespan …

A survey on new generation metaheuristic algorithms

T Dokeroglu, E Sevinc, T Kucukyilmaz… - Computers & Industrial …, 2019 - Elsevier
Metaheuristics are an impressive area of research with extremely important improvements in
the solution of intractable optimization problems. Major advances have been made since the …

Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms

EB Tirkolaee, A Goli, A Faridnia, M Soltani… - Journal of cleaner …, 2020 - Elsevier
Cross-docking practice plays an important role in improving the efficiency of distribution
networks, especially, for optimizing supply chain operations. Moreover, transportation route …

[PDF][PDF] A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project

R Lotfi, Z Yadegari, S Hosseini… - Journal of Industrial …, 2022 - avesis.metu.edu.tr
Özet© 2022. All Rights Reserved. Sustainable development requires scheduling and
implementation of projects by considering cost, environment, energy, and quality factors …

An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study

A Goli, H Khademi-Zare… - … computation in neural …, 2021 - Taylor & Francis
This research specifically addresses the prediction of dairy product demand (DPD). Since
dairy products have a short consumption period, it is important to have accurate information …

Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem

AK Sangaiah, EB Tirkolaee, A Goli, S Dehnavi-Arani - Soft computing, 2020 - Springer
A constant development of gas utilization in domestic households, industry, and power
plants has slowly transformed gaseous petrol into a noteworthy wellspring of energy. Supply …

Appointment scheduling problem under fairness policy in healthcare services: fuzzy ant lion optimizer

A Ala, V Simic, D Pamucar, EB Tirkolaee - Expert systems with applications, 2022 - Elsevier
This study addresses the application of the Integer Linear Programming technique for the
patient Appointment Scheduling Problem (ASP). In this research, we propose a Mixed …

A covering tour approach for disaster relief locating and routing with fuzzy demand

A Goli, B Malmir - … journal of intelligent transportation systems research, 2020 - Springer
Optimizing the distribution and allocation of resources among individuals is one of the most
important measures to be taken at the time of crisis. Time, as a vital factor, has a significant …

Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment

A Goli, HK Zare… - Computational …, 2020 - Wiley Online Library
This paper addresses the multiobjective, multiproducts and multiperiod closed‐loop supply
chain network design with uncertain parameters, whose aim is to incorporate the financial …