A systematic and meta‐analysis survey of whale optimization algorithm
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 …
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 …
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
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 …
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
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 …
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
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 …
municipalities that requires large amounts of fixed/variable and investment costs. The …
Extended genetic algorithm for solving open-shop scheduling problem
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 …
applications which belongs to one of the most important issues in the field of engineering …
Vehicle routing problems over time: a survey
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 …
customers to vehicles and the sequencing of the customers assigned to each vehicle …
Optimizing hyperparameters of deep reinforcement learning for autonomous driving based on whale optimization algorithm
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 …
designed reward function that suites a particular environment without any prior knowledge …
Develo** 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 …
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
Nowadays, urban solid waste management is one of the most crucial activities in
municipalities and their affiliated organizations. It includes the processes of collection …
municipalities and their affiliated organizations. It includes the processes of collection …