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 …

A systematic review of aggregate production planning literature with an outlook for sustainability and circularity

NS Aydin, EB Tirkolaee - Environment, development and sustainability, 2022 - Springer
Aggregate production planning (APP) is the process of determining production, inventory,
and labor levels to meet demand requirements over a planning window up to 1 year. As an …

Fuzzy integrated cell formation and production scheduling considering automated guided vehicles and human factors

A Goli, EB Tirkolaee, NS Aydın - IEEE transactions on fuzzy …, 2021 - ieeexplore.ieee.org
In today's competitive environment, it is essential to design a flexible-responsive
manufacturing system with automatic material handling systems. In this article, a fuzzy mixed …

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 …

Capacity configuration optimization of multi-energy system integrating wind turbine/photovoltaic/hydrogen/battery

Y Zhang, H Sun, J Tan, Z Li, W Hou, Y Guo - Energy, 2022 - Elsevier
Wind and solar energy are paid more attention as clean and renewable resources.
However, due to the intermittence and fluctuation of renewable energy, the problem of …

A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms

EB Tirkolaee, A Goli, S Gütmen, GW Weber… - Annals of Operations …, 2023 - Springer
Municipal solid waste (MSW) management is known as one of the most crucial activities in
municipalities that requires large amounts of fixed/variable and investment costs. The …

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 …

An overview of weighted goal programming: a multi-objective transportation problem with some fresh viewpoints

S Gütmen, SK Roy, GW Weber - Central European Journal of Operations …, 2023 - Springer
Goal programming (GP) is one of the widely used and effective method of solving real-world
multi-objective decision-making problems. The term “multi-objective transportation …

Multi-objective solid transportation-location problem with variable carbon emission in inventory management: a hybrid approach

SK Das, M Pervin, SK Roy, GW Weber - Annals of Operations Research, 2023 - Springer
The most important strategic issue for several industries is where to find facilities so as to
discover a transportation path for optimizing the objectives at the same time. This paper …

Application of type-2 fuzzy logic to a multiobjective green solid transportation–location problem with dwell time under carbon tax, cap, and offset policy: fuzzy versus …

SK Das, SK Roy, GW Weber - IEEE Transactions on Fuzzy …, 2020 - ieeexplore.ieee.org
We are observing more often extreme climate incidents because of global warming. There is
a dire requirement for governments, enterprises, the overall population, and academics to …