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Responsive Bus Bridging Service Planning Under Urban Rail Transit Line Emergency

YUEDI YANG, HUI ZHAO
2016 DEStech Transactions on Engineering and Technology Research  
As an important urban transportation mode, urban rail transit (URT) systems act as a key solution for high-density passengers.  ...  For the URT systems, even minor disruptions of can lead to severe harm of passenger safety, large traffic delay and widespread confusion because of the passenger density.  ...  ACKNOWLEDGEMENTS This research was partly funded by the National Natural Science Foundation of China (No. 71371028) and Fundamental Research Funds for the Central Universities (2015JBM049).  ... 
doi:10.12783/dtetr/icvme2016/4872 fatcat:cwdoagdmcjhrjnwku5v66plcgu

Bio-Inspired Meta-Heuristics for Emergency Transportation Problems

Min-Xia Zhang, Bei Zhang, Yu-Jun Zheng
2014 Algorithms  
In this paper, we conduct a survey of recent advances in bio-inspired meta-heuristics, including genetic algorithms (GA), particle swarm optimization (PSO), ant colony optimization (ACO), etc., for solving  ...  We then propose a new hybrid biogeography-based optimization (BBO) algorithm, which outperforms some state-of-the-art heuristics on a typical transportation planning problem.  ...  Acknowledgments The work was supported in part by grants from the National Natural Science Foundation (Grant No. 61020106009, 61105073, 61272075) of China.  ... 
doi:10.3390/a7010015 fatcat:5djecjpy2fgvfbrupgqvh4keym

A Survey on the Vehicle Routing Problem and Its Variants

Suresh Nanda Kumar, Ramasamy Panneerselvam
2012 Intelligent Information Management  
In this paper we discuss the various exact methods and the heuristics and meta-heuristics used to solve the VRP and its variants.  ...  Hence, to get solutions in determining routes which are realistic and very close to the optimal solution, we use heuristics and meta-heuristics.  ...  Meta-Heuristics Many of the most successful meta computation. In [41] , th netic algorithm to VRPTW. They hybridized a genetic algorithm with a greedy heuristic.  ... 
doi:10.4236/iim.2012.43010 fatcat:bhzk37ixjnevhfj3shywxc2ccq

BENZETİMLE ENİYİLEME İÇİN ÇOKLU META-SEZGİSELLER

Serdar BOZOĞLAN, Murat M.GÜNAL
2014 Journal of Naval Science and Engineering  
Çalışmanın sonuçları BE'de çoklu meta sezgisellere sahip olmanın potansiyel faydalarını göstermiştir.  ...  Genel olarak bu modüller meta-sezgisel yöntemleri kullanmaktadır ancak analizcinin yöntem seçimine izin vermemektedir.  ...  Event graphing is a very efficient method for representing events and their interactions in a system. An EG has two elements; nodes (events) and edges (event transitions).  ... 
doaj:45234045b077476c976d348634383844 fatcat:7phapt7tqrcbdan3f4da4xuu5m

Off-Grid Multi-Carrier Microgrid Design Optimisation: The Case of Rakiura–Stewart Island, Aotearoa–New Zealand

Soheil Mohseni, Alan C. Brent, Daniel Burmester
2021 Energies  
The main objective of calculating the optimal size of the conceptualised isolated MECM's components through minimising the associated lifetime costs is fulfilled by a specifically developed meta-heuristic-based  ...  and transportation fuel demands of remote communities.  ...  Conflicts of Interest: The authors declare no conflict of interest. Energies 2021, 14, 6522  ... 
doi:10.3390/en14206522 fatcat:bb7zji27hjhcreih7gdtrkilye

Trends in Models and Algorithms for Fleet Management

Maurizio Bielli, Alessandro Bielli, Riccardo Rossi
2011 Procedia - Social and Behavioral Sciences  
Many of them, however, operate essentially in a demand-responsive mode: the demands for services are not known beforehand and the fleet has to be deployed and managed (re-routed) in real-time to handle  ...  Fortunately, recent developments in the area of algorithms, in particular the emergence of powerful meta-heuristics, and advances in computing technology, in particular distributed and parallel computing  ...  For a given demand, the model determines departure times of the services such that throughput time of the demand in the system is minimized.  ... 
doi:10.1016/j.sbspro.2011.08.004 fatcat:7tgw664otbcobbqxlz2iirlehy

Application of Exact and Multi-Heuristic Approaches to a Sustainable Closed Loop Supply Chain Network Design

Abdul Salam Khan, Qazi Salman Khalid, Khawar Naeem, Rafiq Ahmad, Razaullah Khan, Waqas Saleem, Catalin Iulian Pruncu
2021 Sustainability  
A cost model is proposed to investigate the economic and environmental aspects of such systems. The transportation cost is analyzed in terms of total carbon emissions.  ...  A set of metaheuristics are administered to solve the model and a novel lower bound is proposed to relax the complexity of the proposed model.  ...  It can be observed that different meta-heuristics have been applied to solve the relevant problems; however, there is a dearth of application of multiple and hybrid meta-heuristics.  ... 
doi:10.3390/su13052433 fatcat:x3f464y2djc6xlexiuyqriwybe

Virtual Consolidation of Resource Sharing in Green Cloud using an Efficient Meta Scheduling Algorithm

S. Lavanya Prabha
2022 International journal of computer science and mobile computing  
This intent addresses these challenges by proposing a virtual file system specifically optimized for virtual machine image storage.  ...  To propose a Meta-scheduling algorithm, this exploits the heterogeneous nature of Cloud to achieve the reduction in energy consumption as the green cloud.  ...  The compares the demand services due to switching state Meta information process the revival comparison of delivered data response rate.  ... 
doi:10.47760/ijcsmc.2022.v11i02.006 fatcat:j752imoprberlmyxr5re2tr4lm

A Novel Bio-Inspired Method for Early Diagnosis of Breast Cancer through Mammographic Image Analysis

González-Patiño, Villuendas-Rey, Argüelles-Cruz, Karray
2019 Applied Sciences  
The results showed a lower error rate using these meta-heuristics for segmentation compared to a well-adopted classical approach known as the Otsu method.  ...  Breast cancer is a current problem that causes the death of many women. In this work, we test meta-heuristics applied to the segmentation of mammographic images.  ...  In addition, the authors gratefully acknowledge the Electrical and Computer Engineering department of the University of Waterloo, Ontario in Canada for their support to develop this work.  ... 
doi:10.3390/app9214492 fatcat:2wdq7s4gbnc6nnzhpa2s7bqdfy

Comparative Analysis of Selection Hyper-Heuristics for Real-World Multi-Objective Optimization Problems

Vinicius Renan de Carvalho, Ender Özcan, Jaime Simão Sichman
2021 Applied Sciences  
All studied hyper-heuristics control a set of five Multi-Objective Evolutionary Algorithms (MOEAs) as Low-Level (meta-)Heuristics (LLHs) while finding solutions for the optimization problem.  ...  However, choosing a meta-heuristic to solve a particular optimization problem is a non-trivial task, and often requires a time-consuming trial and error process.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app11199153 fatcat:hfye6zcjlzalhgqtzldtpdxuti

Decision support for disaster management

Erik Rolland, Raymond A. Patterson, Keith Ward, Bajis Dodin
2010 Operations Management Research  
Therefore, this paper proposes a decision-support system for disaster response and recovery using hybrid meta-heuristics. Keywords Disaster management . Meta-heuristics . Project management .  ...  Decision support systems Purpose Altay and Green (2006) outline four phases of disaster operations management: mitigation, preparedness, response and recovery. Their disaster response phase involves  ...  A promising area of future research is to design meta-heuristics that manipulate the decision tree process of a problem-class-specific solution method.  ... 
doi:10.1007/s12063-010-0028-0 fatcat:tpnnvea2njbspn6qtjtiilumja

Simulation-optimization using a reinforcement learning approach

Carlos D. Paternina-Arboleda, Jairo R. Montoya-Torres, Aldo Fabregas-Ariza
2008 2008 Winter Simulation Conference  
The global optimization of complex systems such as industrial systems often necessitates the use of computer simulation.  ...  In this paper, we suggest the use of reinforcement learning (RL) algorithms and artificial neural networks for the optimization of simulation models.  ...  As a major departure from a classical heuristic, a meta-heuristic method implies a higher-level strategy controlling a lower-level heuristic method.  ... 
doi:10.1109/wsc.2008.4736213 dblp:conf/wsc/Paternina-ArboledaMF08 fatcat:z3yfbt357vdbrjthu4bujgcvse

An Efficient Meta Scheduling based Virtual Consolidation for Resource Sharing in Green Cloud

S. Lavanya Prabha, R. Dhivya
2016 Bonfring International Journal of Data Mining  
This intent addresses these challenges by proposing a virtual file system specifically optimized for virtual machine image storage.  ...  To propose a Meta-scheduling algorithm, this exploits the heterogeneous nature of Cloud to achieve the reduction in energy consumption as the green cloud.  ...  The compares the demand services due to switching state Meta information process the revival comparison of delivered data response rate.  ... 
doi:10.9756/bijdm.8303 fatcat:xamcrk47q5fxhfddvquqnku23m

A potential demand model for a multi-circulation feeder network design [article]

Saeed Sani, Mehdi Ghatee
2022 arXiv   pre-print
The development of public transit network can enhance the efficiency of the system as well as raise interest to use the system.  ...  Purpose: To present a modified potential demand model for designing a multi-circulation feeder network.  ...  Heuristic and meta-heuristic algorithms are appropriate to solve the model.  ... 
arXiv:2205.04537v1 fatcat:vmglqdap3fbadaj2pvktyz2g2m

The Internet of Things Enabled Shop Floor Scheduling and Process Control Method Based on Petri Nets

Xiaoqiang Wu, Songling Tian, Lei Zhang
2019 IEEE Access  
To represent operation sequencing information, a schedule timed transition Petri net (TTPN) is proposed which is evolved from the TTPN.  ...  The experimental results confirm that the proposed method is effective for scheduling and process control of the IoT-enabled shop floor.  ...  It also needs a higher adaptive and faster response speed control system, namely distributed control system.  ... 
doi:10.1109/access.2019.2900117 fatcat:oeazjyos5ba7dewbuwgx3i7bie
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