4.5 Article

Improved Ant Colony Optimization for the Operational Aircraft Maintenance Routing Problem with Cruise Speed Control

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Multipopulation Ant Colony System With Knowledge-Based Local Searches for Multiobjective Supply Chain Configuration

Xin Zhang et al.

Summary: This article proposes a multipopulation ant colony system with knowledge-based local searches (MPACS-KLSs) to solve the multiobjective supply chain configuration (MOSCC) problem in supply chain management (SCM) in a smart city. By utilizing multiple populations, problem-related knowledge, and local searches, the algorithm improves performance and convergence speed.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2022)

Article Engineering, Civil

Advanced Phasmatodea Population Evolution Algorithm for Capacitated Vehicle Routing Problem

Jiawen Zhuang et al.

Summary: In this paper, an advanced Phasmatodea population evolution algorithm (APPE) is proposed to solve the Capacitated Vehicle Routing Problem (CVRP). By deleting competition, adding a jump mechanism, and improving the search method, APPE outperforms other algorithms in terms of convergence accuracy and running time.

JOURNAL OF ADVANCED TRANSPORTATION (2022)

Article Engineering, Civil

An Adaptive Ant Colony System Based on Variable Range Receding Horizon Control for Berth Allocation Problem

Rong Wang et al.

Summary: This paper proposes an improved ant colony system algorithm to solve the berth allocation problem in maritime traffic scheduling. The algorithm incorporates adaptive heuristic information, divide-and-conquer strategy, and partial solution memory mechanism to enhance efficiency and robustness.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

Real Environment-Aware Multisource Data-Associated Cold Chain Logistics Scheduling: A Multiple Population-Based Multiobjective Ant Colony System Approach

Li-Jiao Wu et al.

Summary: This study establishes a multisource data-associated cold chain logistics model oriented to the real transportation environment. By considering real driving duration and distance data, it takes into account three scheduling objectives: quality losses, personnel and vehicle costs, and transportation costs. To address this model efficiently, a multiple population-based multiobjective ant colony system approach is proposed, along with a ranking-based local search strategy. Experiments show that the proposed method exhibits the overall best performance compared to other state-of-the-art approaches.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics

Jian-Yu Li et al.

Summary: This paper proposes a multi-objective VRP model (VRP4E) and a novel algorithm (MOACS4E) for epidemic situations. The model takes into account both traditional travel costs and prevention costs, while the algorithm uses two ant colonies to optimize these costs separately. Experimental results demonstrate the effectiveness of MOACS4E.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Civil

Train Scheduling Optimization for an Urban Rail Transit Line: A Simulated-Annealing Algorithm Using a Large Neighborhood Search Metaheuristic

Hai Zhang et al.

Summary: This paper presents an optimization model for an irregular train schedule in urban rail transit. The aim is to optimize the maximum train loading rate and average departure intervals considering practical constraints. A simulated-annealing algorithm is used to solve the model, and a case study is conducted to evaluate its efficacy.

JOURNAL OF ADVANCED TRANSPORTATION (2022)

Article Computer Science, Artificial Intelligence

A Buffer-Based Ant Colony System Approach for Dynamic Cold Chain Logistics Scheduling

Li-Jiao Wu et al.

Summary: This paper focuses on the dynamic cold chain logistics (DCCL) scheduling problem by establishing a practical DCCL model. A buffer-based ant colony system (BACS) approach is proposed to solve the DCCL model, and a periodic learning strategy is designed to enhance performance.

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2022)

Article Engineering, Civil

Memory-Based Ant Colony System Approach for Multi-Source Data Associated Dynamic Electric Vehicle Dispatch Optimization

Lin Shi et al.

Summary: This paper establishes a dynamic EV dispatch model by considering multi-source data association to simulate real-world customer-EV allocation scenarios. A memory-based ant colony optimization approach is proposed to solve the model, along with partial reassignment strategy and exchange or replace local search procedure to enhance performance.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Engineering, Multidisciplinary

Operational aircraft maintenance routing problem incorporating cruise speed control

Qing Zhang et al.

Summary: Allowing variability in flight flying time can improve flight connection opportunities and aircraft utilization. This study proposes a new model that incorporates cruise speed control to realize the flying time variability. Experimental results show that the proposed model can generate maintenance routes with higher aircraft utilization and maintain schedule stability and flexibility.

ENGINEERING OPTIMIZATION (2022)

Article Engineering, Civil

A Multi-Objective Ant Colony System Algorithm for Airline Crew Rostering Problem With Fairness and Satisfaction

Shu-Zi Zhou et al.

Summary: The study introduces a new model for airline crew rostering problem that considers both fairness and satisfaction, and develops a multi-objective ACS algorithm. The algorithm uses two ant colonies to optimize fairness and satisfaction objectives, introduces a hybrid complementary heuristic strategy, and includes two types of local search strategies. Experimental results show that MOACS generally outperforms other algorithms, especially on large-scale instances.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Engineering, Civil

Speed Proportional Integrative Derivative Controller: Optimization Functions in Metaheuristic Algorithms

Luis Fernando de Mingo Lopez et al.

Summary: Recent advancements in computer science have introduced several optimization models, including metaheuristic algorithms used in real applications. This paper proposes a new fitness function based on the mathematical description of proportional integrative derivative controllers, to evaluate the performance of various optimization algorithms. Results show that selecting the right fitness function is essential for achieving good performance.

JOURNAL OF ADVANCED TRANSPORTATION (2021)

Article Engineering, Civil

Modelling of User Behaviour for Static Rebalancing of Bike Sharing System: Transfer of Demand from Bike-Shortage Stations to Neighbouring Stations

Roberta Costa Affonso et al.

Summary: Bike sharing systems are becoming more common globally, with the challenge of ensuring bicycle availability to meet user needs. To address this, a study proposed a realistic algorithm to evaluate lost demand, considering user behavior and successfully combined it with a metaheuristic algorithm. This approach achieved very good results in reducing lost demand at bike-sharing stations.

JOURNAL OF ADVANCED TRANSPORTATION (2021)

Article Engineering, Civil

An Improved Harmony Search Algorithm for Proactive Routing Protocol in VANET

Ravie Chandren Muniyandi et al.

Summary: This study focuses on the performance optimization of OLSR protocol in VANET, proposing an EHSO algorithm to optimize OLSR parameter configurations for improved QoS.

JOURNAL OF ADVANCED TRANSPORTATION (2021)

Article Computer Science, Interdisciplinary Applications

Building A blockchain-based decentralized digital asset management system for commercial aircraft leasing

Paul Kuhle et al.

Summary: This paper examines how the commercial aircraft leasing sector can benefit from blockchain technology, proposes a suitable blockchain application design, and demonstrates the feasibility and practicality of blockchain solutions through a proof-of-concept.

COMPUTERS IN INDUSTRY (2021)

Article Computer Science, Interdisciplinary Applications

Augmented Lagrangian based hybrid subgradient method for solving aircraft maintenance routing problem

K. Gulnaz Bulbul et al.

Summary: This paper studies a new version of the aircraft maintenance routing problem, formulating it as an asymmetric traveling salesman problem with fleet size and maintenance violation constraints. A hybrid solution method combining a modified subgradient algorithm and ant colony optimization metaheuristic is developed and demonstrated to outperform conventional methods.

COMPUTERS & OPERATIONS RESEARCH (2021)

Article Automation & Control Systems

Robust Aircraft Maintenance Routing Problem Using a Turn-Around Time Reduction Approach

Abdelrahman E. E. Eltoukhy et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2020)

Article Engineering, Civil

An Efficient Ant Colony System Approach for New Energy Vehicle Dispatch Problem

Di Liang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Automation & Control Systems

Multiobjective Cloud Workflow Scheduling: A Multiple Populations Ant Colony System Approach

Zong-Gan Chen et al.

IEEE TRANSACTIONS ON CYBERNETICS (2019)

Article Economics

Data analytics in managing aircraft routing and maintenance staffing with price competition by a Stackelberg-Nash game model

Abdelrahman E. E. Eltoukhy et al.

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2019)

Article Computer Science, Interdisciplinary Applications

Models for aircraft maintenance routing problem with consideration of remaining time and robustness

Ruyu Cui et al.

COMPUTERS & INDUSTRIAL ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing

Xiao-Fang Liu et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2018)

Article Transportation

A mathematical programming model for aircraft leasing decisions

Wei-Ting Chen et al.

JOURNAL OF AIR TRANSPORT MANAGEMENT (2018)

Article Computer Science, Interdisciplinary Applications

Heuristic approaches for operational aircraft maintenance routing problem with maximum flying hours and man-power availability considerations

Abdelrahman E. E. Eltoukhy et al.

INDUSTRIAL MANAGEMENT & DATA SYSTEMS (2017)

Article Operations Research & Management Science

Integrated Disruption Management and Flight Planning to Trade Off Delays and Fuel Burn

Lavanya Marla et al.

TRANSPORTATION SCIENCE (2017)

Article Transportation Science & Technology

An integrated approach for airline scheduling, aircraft fleeting and routing with cruise speed control

Huseyin Gurkan et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Transportation Science & Technology

A model and optimization-based heuristic for the operational aircraft maintenance routing problem

Nayla Ahmad Al-Thani et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)

Article Engineering, Industrial

Robust Airline Scheduling with Controllable Cruise Times and Chance Constraints

A. Serasu Duran et al.

IIE TRANSACTIONS (2015)

Article Management

Operational aircraft maintenance routing problem with remaining time consideration

Mehmet Basdere et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2014)

Article Management

Aircraft Rescheduling with Cruise Speed Control

M. Selim Akturk et al.

OPERATIONS RESEARCH (2014)

Article Engineering, Civil

An Efficient Ant Colony System Based on Receding Horizon Control for the Aircraft Arrival Sequencing and Scheduling Problem

Zhi-Hui Zhan et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2010)

Article Computer Science, Artificial Intelligence

New robust and efficient ant colony algorithms: Using new interpretation of local updating process

Hossein Miar Naimi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Management

A branch-and-price approach for operational aircraft maintenance routing

Abdulkadir Sarac et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)

Article Economics

Optimal demand for operating lease of aircraft

TH Oum et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2000)