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 …
Stochastic task scheduling in UAV-based intelligent on-demand meal delivery system
H Huang, C Hu, J Zhu, M Wu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, we investigate the dynamic task scheduling problem with stochastic task arrival
times and due dates in the UAV-based intelligent on-demand meal delivery system …
times and due dates in the UAV-based intelligent on-demand meal delivery system …
Modified A* Algorithm integrated with ant colony optimization for multi-objective route-finding; case study: Yazd
In this paper, MASA (Modified A* Algorithm) method is introduced which can merge
numerous factors with different weights into a multi-weighted graph to offer the most optimal …
numerous factors with different weights into a multi-weighted graph to offer the most optimal …
Optimization models for clustering of solid waste collection process
A Al-Refaie, A Al-Hawadi, S Fraij - Engineering Optimization, 2021 - Taylor & Francis
In Jordan, the waste collection process incurs high transportation and operation costs. The
main reasons for the high transportation costs are inefficient clustering and poor routing …
main reasons for the high transportation costs are inefficient clustering and poor routing …
[HTML][HTML] Parameter identification of photovoltaic cell model using modified elephant herding optimization-based algorithms
The use of metaheuristics in estimating the exact parameters of solar cell systems
contributes greatly to performance improvement. The nonlinear electrical model of the solar …
contributes greatly to performance improvement. The nonlinear electrical model of the solar …
UV-CDS: An energy-efficient scheduling of UAVs for premises sterilization
Despite the severity of the second wave of the novel coronavirus disease (COVID-19) and
the recent hope for vaccine roll-outs, many public and private institutions are forced to …
the recent hope for vaccine roll-outs, many public and private institutions are forced to …
Balanced dynamic multiple travelling salesmen: Algorithms and continuous approximations
W Garn - Computers & Operations Research, 2021 - Elsevier
Dynamic routing occurs when customers are not known in advance, eg for real-time routing.
Two heuristics are proposed that solve the balanced dynamic multiple travelling salesmen …
Two heuristics are proposed that solve the balanced dynamic multiple travelling salesmen …
An evolutionary approach for the p-next center problem
The p-next center problem is an extension of the classical p-center problem, in which a
backup center must be assigned to welcome users from a suddenly unavailable center …
backup center must be assigned to welcome users from a suddenly unavailable center …
[HTML][HTML] Vehicle routing problem considering reconnaissance and transportation
Troop movement involves transporting military personnel from one location to another using
available means. To minimize damage from enemies, the military simultaneously uses …
available means. To minimize damage from enemies, the military simultaneously uses …
[HTML][HTML] Self-configuring (1+ 1)-evolutionary algorithm for the continuous p-median problem with agglomerative mutation
L Kazakovtsev, I Rozhnov, G Shkaberina - Algorithms, 2021 - mdpi.com
The continuous p-median problem (CPMP) is one of the most popular and widely used
models in location theory that minimizes the sum of distances from known demand points to …
models in location theory that minimizes the sum of distances from known demand points to …