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 …

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 …

A coevolutionary framework for constrained multiobjective optimization problems

Y Tian, T Zhang, J Xiao, X Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Constrained multiobjective optimization problems (CMOPs) are challenging because of the
difficulty in handling both multiple objectives and constraints. While some evolutionary …

Truck–drone hybrid routing problem with time-dependent road travel time

Y Wang, Z Wang, X Hu, G Xue, X Guan - Transportation Research Part C …, 2022 - Elsevier
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 …

Biased random-key genetic algorithms: A review

MA Londe, LS Pessoa, CE Andrade… - European Journal of …, 2024 - Elsevier
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 …

An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box”

J Pasha, MA Dulebenets, M Kavoosi, OF Abioye… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

Real-time deep reinforcement learning based vehicle navigation

S Koh, B Zhou, H Fang, P Yang, Z Yang, Q Yang… - Applied Soft …, 2020 - Elsevier
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 …

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 …

[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 …

Multiple criteria decision-making for hospital location-allocation based on improved genetic algorithm

M Kaveh, M Kaveh, MS Mesgari, RS Paland - Applied Geomatics, 2020 - Springer
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 …