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An Adaptive Large Neighborhood Search Algorithm for the Satellite Data Transmission Scheduling Problem [PDF]

International Journal of Aerospace Engineering, 2020
Satellite establishes a satellite ground station to satellite link with a ground station to complete data transmission. However, in China, satellite ground stations only exist within the country.
Yingguo Chen, Ming Chen, Jun Wen, Yingwu Chen, Wen Xiang   +4 more
doaj   +3 more sources

An adaptive large neighborhood search algorithm for the tugboat scheduling problem

Computers and Industrial Engineering, 2023
10.1016/j.cie.2023 ...
Yijing Liang, Xiaoyang Wei
exaly   +3 more sources

Adaptive large neighborhood search Algorithm for route planning of freight buses with pickup and delivery

Journal of Industrial & Management Optimization, 2021
Freight bus is a new public transportation means for city logistics, and each freight bus can deliver and pick up goods at each customer/supplier location it passes. In this paper, we study the route planning problem of freight buses in an urban distribution system. Since each freight bus makes a tour visiting a set of pickup/delivery locations once at
Chang, Zheng, Chen, Haoxun, Yalaoui, Farouk, Dai, Bo   +3 more
openaire   +4 more sources

An improved adaptive large neighborhood search algorithm for the flexible two-tier vehicle routing problem with drone stations [PDF]

Frontiers in Artificial Intelligence
The two-tier vehicle routing problem (2T-VRP) represents a novel variant differing from the traditional VRPs. It can be applied to urban logistics operations system, offering significant potential for mitigating last-mile traffic congestion and reducing ...
Qi Li, Wenhao Yan, Tad Gonsalves
doaj   +2 more sources

Adaptive Simulated Annealing and Adaptive Large Neighborhood Search Algorithm for Solving Container Loading Problem: A Case Study [PDF]

International Journal of Industrial Engineering and Production Research
Adaptive Simulated Annealing (ASA) and Adaptive Large Neighborhood Search (ALNS) are two metaheuristic algorithms widely applied to solve discrete optimization problems. This study employs both algorithms to address the Container Loading Problem (CLP), a
Wahyu Kurniawan, Achmad Pratama Rifai, Nur Aini Masruroh   +2 more
doaj   +2 more sources

A Coordinated Vehicle–Drone Arc Routing Approach Based on Improved Adaptive Large Neighborhood Search

Sensors, 2022
Through urban traffic patrols, problems such as traffic congestion and accidents can be found and dealt with in time to maintain the stability of the urban traffic system.
Guohua Wu, Kexin Zhao, Jiaqi Cheng, Manhao Ma   +3 more
doaj   +1 more source

An Adaptive Sand Cat Swarm Algorithm Based on Cauchy Mutation and Optimal Neighborhood Disturbance Strategy

Biomimetics, 2023
Sand cat swarm optimization algorithm (SCSO) keeps a potent and straightforward meta-heuristic algorithm derived from the distant sense of hearing of sand cats, which shows excellent performance in some large-scale optimization problems.
Xing Wang, Qian Liu, Li Zhang
doaj   +1 more source

Data-Driven Bus Route Optimization Algorithm Under Sudden Interruption of Public Transport

IEEE Access, 2022
With the continuous expansion of urban traffic operation scale, public transport emergencies occur from time to time, causing serious traffic jams and potential safety hazards in a short time.
Ruisong Liu, Ning Wang
doaj   +1 more source

A Stochastic Local Search Algorithm for the Partial Max-SAT Problem Based on Adaptive Tuning and Variable Depth Neighborhood Search

IEEE Access, 2021
The Partial Max-SAT (PMSAT) problem is an optimization variant of the well-known Propositional Boolean Satisfiability (SAT) problem. It holds an important place in theory and practice, because a huge number of real-world problems, such as timetabling ...
Haifa Hamad Alkasem, Mohamed El Bachir Menai   +1 more
doaj   +1 more source

Multi-objective Discrete Combinatorial Optimization Algorithm Combining Problem-Decomposition and Adaptive Large Neighborhood Search [PDF]

Jisuanji kexue yu tansuo
In order to efficiently obtain solutions for large-scale multi-objective optimization problems in reality, to achieve a balance among convergence, diversity, and uniformity has gradually become one of the important goals in multi-objective optimization ...
WEI Qian, JI Bin
doaj   +1 more source