A systematic and meta‐analysis survey of whale optimization algorithm

HM Mohammed, SU Umar… - Computational …, 2019 - Wiley Online Library
The whale optimization algorithm (WOA) is a nature‐inspired metaheuristic optimization
algorithm, which was proposed by Mirjalili and Lewis in 2016. This algorithm has shown its …

Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review

X Zhang, C Liu, Y Chen, G Zheng, Y Chen - Environment, development …, 2022 - Springer
Waste sorting is an effective means of enhancing resource or energy recovery from
municipal solid waste (MSW). Waste sorting management system is not limited to source …

Improving construction and demolition waste collection service in an urban area using a simheuristic approach: A case study in Sydney, Australia

M Yazdani, K Kabirifar, BE Frimpong, M Shariati… - Journal of Cleaner …, 2021 - Elsevier
Urbanization and population growth have resulted in a significant increase in the amount of
generated construction and demolition (C&D) waste worldwide. Improper C&D waste …

A robust green location-allocation-inventory problem to design an urban waste management system under uncertainty

EB Tirkolaee, I Mahdavi, MMS Esfahani, GW Weber - Waste Management, 2020 - Elsevier
The excessive expansion of cities and the consequent increase in urban population,
especially in recent years, have led to a significant increase in consumptions and …

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 …

Extended genetic algorithm for solving open-shop scheduling problem

AA Rahmani Hosseinabadi, J Vahidi, B Saemi… - Soft computing, 2019 - Springer
Open-shop scheduling problem (OSSP) is a well-known topic with vast industrial
applications which belongs to one of the most important issues in the field of engineering …

Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm

NM Ashraf, RR Mostafa, RH Sakr, MZ Rashad - Plos one, 2021 - journals.plos.org
Deep Reinforcement Learning (DRL) enables agents to make decisions based on a well-
designed reward function that suites a particular environment without any prior knowledge …

Vehicle routing problems over time: a survey

A Mor, MG Speranza - Annals of Operations Research, 2022 - Springer
In vehicle routing problems (VRPs) the decisions to be taken concern the assignment of
customers to vehicles and the sequencing of the customers assigned to each vehicle …

Developing an applied algorithm for multi-trip vehicle routing problem with time windows in urban waste collection: A case study

E Babaee Tirkolaee, P Abbasian… - Waste Management …, 2019 - journals.sagepub.com
This paper studies a multi-trip vehicle routing problem with time windows specifically related
to urban waste collection. Urban waste collection is one of the municipal activities with large …

A hybrid augmented ant colony optimization for the multi-trip capacitated arc routing problem under fuzzy demands for urban solid waste management

E Babaee Tirkolaee, I Mahdavi… - Waste management …, 2020 - journals.sagepub.com
Nowadays, urban solid waste management is one of the most crucial activities in
municipalities and their affiliated organizations. It includes the processes of collection …