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 …
Shared autonomous electric vehicle: Towards social economy of energy and mobility from power-transportation nexus perspective
R Sumitkumar, AS Al-Sumaiti - Renewable and Sustainable Energy …, 2024 - Elsevier
In addressing the detrimental impacts of greenhouse gas emissions and decarbonization
targets, the imperative shift towards electrification in the transportation sector is underscored …
targets, the imperative shift towards electrification in the transportation sector is underscored …
A coevolutionary framework for constrained multiobjective optimization problems
Constrained multiobjective optimization problems (CMOPs) are challenging because of the
difficulty in handling both multiple objectives and constraints. While some evolutionary …
difficulty in handling both multiple objectives and constraints. While some evolutionary …
Truck–drone hybrid routing problem with time-dependent road travel time
Combining trucks and drones in package delivery provides a promising venue for a future
logistics system that is more efficient and sustainable than the existing one. However, how to …
logistics system that is more efficient and sustainable than the existing one. However, how to …
Biased random-key genetic algorithms: A review
This paper is a comprehensive literature review of Biased Random-Key Genetic Algorithms
(BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with …
(BRKGA). BRKGA is a metaheuristic that employs random-key-based chromosomes with …
An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box”
The “factory-in-a-box” concept involves assembling production modules (ie, factories) in
containers and transporting the containers to different customer locations. Such a concept …
containers and transporting the containers to different customer locations. Such a concept …
Real-time deep reinforcement learning based vehicle navigation
Traffic congestion has become one of the most serious contemporary city issues as it leads
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
to unnecessary high energy consumption, air pollution and extra traveling time. During the …
Green two-echelon closed and open location-routing problem: application of NSGA-II and MOGWO metaheuristic approaches
A Heidari, DM Imani, M Khalilzadeh… - Environment …, 2023 - Springer
Nowadays organizations outsource transportation of goods or services to reduce cost which
leads to a particular type of problem called open location-routing. Also, each logistic …
leads to a particular type of problem called open location-routing. Also, each logistic …
[HTML][HTML] An improved tabu search algorithm for solving heterogeneous fixed fleet open vehicle routing problem with time windows
ZH Ahmed, M Yousefikhoshbakht - Alexandria Engineering Journal, 2023 - Elsevier
The heterogeneous fixed fleet open vehicle routing problem with time windows is a very
significant type of the vehicle routing problem (VRP) that aims to find the minimum fixed and …
significant type of the vehicle routing problem (VRP) that aims to find the minimum fixed and …
Multiple criteria decision-making for hospital location-allocation based on improved genetic algorithm
Hospital site selection is an essential problem in all societies, and the allocation of the
population to these centers are included as the important optimization issues to be …
population to these centers are included as the important optimization issues to be …