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12th IEEE International Conference on Software Engineering and Service Science (IEEE ICSESS)

作者： Liu, Guowei Ren, Hongxiang Xu, Fuquan Zhou, Yi Dalian Maritime Univ Key Lab Marine Dynam Simulat Dalian Liaoning Peoples R China Oil Prod Serv Co CNOOC Energy Technol & Serv Tianjin 300452 Peoples R China

ISBN: (纸本)9781665415064

In order to reduce the detention time of ships in the port, make full use of port resources and optimize port services. This paper analyzes the factors that affect the efficiency of the dispatching of ships entering and leaving the port, and studies the coordinated dispatching of multiple ship types and multiple berth types. Based on the proposed hypothesis, with the minimum total scheduling time and the minimum waiting time as the optimization goals, a coordinated scheduling model for berth allocation and channel was established. Based on the nsga-ii algorithm, a multi-objective optimization genetic algorithm suitable for solving the model of berth allocation and channel coordination scheduling is designed. By testing the intensive ship entry and exit data in a short period of time, the solution efficiency and stability of the algorithm in this paper are better than those of the nsga-ii algorithm, and it is more suitable for solving the optimization problem of berth allocation and channel coordination scheduling.

关键词： Berth allocation ships entering and leaving the port improved nsga-ii algorithm

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Dangerous Goods Container Location Allocation Strategy based on improved nsga-ii algorithm

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INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第8期13卷 253-261页

作者： Zhang, Xinmei Liang, Nannan Chen, Chen China Univ Petr Coll Mech & Elect Engn Qingdao Shandong Peoples R China China Univ Petr Coll Econ & Management Qingdao Shandong Peoples R China

The characteristics of port dangerous goods are complicated and diverse in danger, which is very likely to cause chain effects once a fire and explosion accident occurs. Based on the distribution characteristics of dangerous goods container yards and the special national storage requirements for dangerous goods containers, the paper establishes a multi-objective optimization model with a double priority of safety and economy, starting from reducing the number of reversals. The improved non-dominated sorting genetic algorithm based on the elite strategy was used to solve the model and the algorithm was tested and improved. Based on the Pareto optimal solution set, the entropy weight-TOPSIS method was used to optimize the sorting of multiple solution sets, which improved the performance of the algorithm. The analysis further clarifies the important relationship between attributes, and the running time is shortened by 85.7% compared with the traditional nsga algorithm. The optimization model and algorithm can provide decision support for the actual operation and management of container storage, and provide a good reference for accident risk prevention and control.

关键词： Dangerous goods containers container allocation improved nsga-ii algorithm entropy weight-TOPSIS

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Research on intelligent workshop resource scheduling method based on improved nsga-ii algorithm

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2021年 71卷 102141-102141页

作者： Yuan, Minghai Li, Yadong Zhang, Lizhi Pei, Fengque Hohai Univ Coll Mech & Elect Engn Changzhou Jiangsu Peoples R China

With the intensification of globalization, the competition among various manufacturing enterprises has become increasingly fierce, enterprises are developing in the direction of the product diversification, zero inventory or low inventory, and scheduling in production management has become more complicated. In this paper, machine and workpiece were as objects to study the problem of workshop scheduling in intelligent manufacturing environment. The resource scheduling model of intelligent manufacturing workshop was established with the goal of minimizing the maximum completion time, tardiness, machine load and energy consumption. The Nondominated Sorting Genetic algorithm (nsga-ii) algorithm was improved, and the evaluation function was established based on ranking level and crowding degree, then the competition mechanism was introduced. Random mutation strategy and crossover method based on process and machine was adopted to generate a new generation of populations. The elitist retention strategy was improved, the variable proportion method was designed to determine the probability, and the optimal solution is determined by the Analytic Hierarchy Process (AHP). The benchmark cases and practical production and processing problems were tested to verify the superiority and effectiveness of the improved algorithm.

关键词： Intelligent manufacturing Workshop resource scheduling improved nsga-ii algorithm Variable proportion

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Inverse analysis of geotechnical parameters using an improved version of non-dominated sorting genetic algorithm ii

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COMPUTERS AND GEOTECHNICS 2024年 171卷

作者： He, Bo-Hu Du, Xiu-Li Bai, Ming-Zhou Yang, Jin-Wen Ma, Dong China Railway 16th Bur Grp Co Ltd Postdoctoral Res Workstat Beijing 100018 Peoples R China Beijing Univ Technol Fac Urban Construct Beijing 100124 Peoples R China Beijing Jiaotong Univ Sch Civil Engn Beijing 100044 Peoples R China

The accuracy of slope mechanical parameter values determines the accuracy of slope stability assessments and the effectiveness of protective measures. Traditional methods for obtaining geotechnical parameters cannot entirely take into consideration the size, disturbance, variability, and uncertainty of mechanical parameters. Hence, we aimed to propose two algorithmic models for the geotechnical parameters of highway slope materials based on an improved non-dominated sorting genetic algorithm ii (nsga-ii) combined with a GA-optimised backpropagation (BP) neural network (NN),named BPGA- nsga-ii model and improved BPGA- nsga-ii *** results indicated that compared with the original nsga-ii model, the improved model showed a substantial shift in the Pareto front, and the errors are smaller than the original *** the two improved models, the improved BPGA-nsga-ii model has higher inversion ***, this study provides a scientifically effective method for improving the accuracy of the geotechnical parameter inversion for highway slope materials.

关键词： improved nsga-ii algorithm Highway slope Mechanical parameters Inversion Geotechnical parameters

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A novel optimal dispatch strategy for hybrid energy ship power system based on the nsga-ii

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ELECTRIC POWER SYSTEMS RESEARCH 2024年 232卷

作者： Wang, Xinyu Zhu, Hongyu Luo, Xiaoyuan Chang, Shaoping Guan, Xinping Yanshan Univ Sch Elect Engn Qinhuangdao 066004 Peoples R China Jiangsu Collaborat Innovat Ctr Smart Distribut Net Nanjing 210000 Peoples R China Shanghai Jiao Tong Univ Sch Elect & Elect Engn Shanghai 200240 Peoples R China

As the most promising future generation green ship, hybrid energy ship power systems (HESPS) have gradually attracted attention. However, the integration of new energy including wind energy and solar energy, raises key challenges in designing a suit optimal dispatch for HESPS under different navigation conditions. Based on this, an optimal dispatch strategy using the improved Non -dominated Sorting Genetic (nsga-ii) algorithm is proposed. Firstly, an integrated HESPS model consisting of diesel power generation system, energy storage system (ESS), wind power generation system (WPGS) and photovoltaic power generation system is established. Based on this, a multi -objective optimization strategy is proposed to reduce the cost and greenhouse gas emissions. Through the design of crossover operator and mutation operator, an improved nsgaii is developed to find optimal solutions. Finally, three cases are presented to test the performance of proposed optimal dispatch strategy. Compared with traditional nsga-ii and multi -objective particle swarm optimization (MOPSO), the indicator of Hypervolume, Proportion of independent solutions, Generational Distance (GD) and Inverted Generational Distance can be improved at least 0.39%, 0.18%, 1.85% and 15.87%. At the same time, the corresponding cost and energy efficiency operational index (EEOI) of HESPS can be reduced by 13.17% and 17.53%.

关键词： Hybrid ship power system Greenhouse gas emission improved nsga-ii algorithm Energy management system

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Multi-objective Optimization-Based algorithm for Selecting the Optimal Path of Rural Multi-temperature Zone Cold Chain Dynamic Logistics Intermodal Transportation

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INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 2024年第1期17卷 1-14页

作者： Qi, Chunwei Jilin Univ Architecture & Technol Sch Management Engn Changchun 130114 Peoples R China

The road network in rural areas is complex and the infrastructure is relatively backward. The multi-temperature zone cold chain logistics involves agricultural products with different temperature requirements, which requires considering the transportation cost, carbon emission cost, refrigeration cost, and time cost of different temperature zones during path planning, thereby increasing the difficulty of path planning. Therefore, a multi-objective optimization-based algorithm for selecting the optimal path of rural multi-temperature zone cold chain dynamic logistics intermodal transportation is proposed. Based on the analysis of the multi-temperature cold chain collection and distribution model based on multimodal transportation, a multi-objective optimization model is constructed. This model aims to minimize transportation costs, carbon emission costs, refrigeration costs, time costs, and maximize logistics quality, while satisfying constraints such as transfer schedule times, the number of transport mode conversions, transport mode selection, and time continuity. To solve this model, an improved nsga-ii algorithm is adopted, which combines an improved mutation operator, congestion distance calculation, and the C-W saving algorithm to achieve the optimal transport path solution. Additionally, ArcGIS software is used to implement the shortest path planning based on real road networks. The experimental results show that by selecting the road-rail combined transport mode and adopting the D1-D6-D10 transport path, it is possible to transport fresh agricultural products from location A to the distribution center at location B, with the lowest Pareto fitness value. Furthermore, the algorithm's effectiveness is further verified by completing the end-of-life fresh agricultural product distribution task with four multi-temperature refrigerated vehicles. The study also finds that extending or shortening the latest service time window for customers, although it leads to a dec

关键词： Multi-temperature zone Cold chain logistics Path selection Multimodal transportation improved nsga-ii algorithm C-W saving algorithm

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Uniform or demand-driven allocation? Optimal management of social donations distribution in response to sudden outbreaks

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KYBERNETES 2024年

作者： Zhu, Xiaoxiao Liu, Ming Zhang, Ding Nanjing Univ Sci & Technol Sch Econ & Management Nanjing Peoples R China SUNY Coll Oswego Sch Business Oswego NY USA

PurposeThis study aims to address challenges in the distribution of social donations during epidemic emergencies, focusing on issues such as uneven distribution and material stacking. The goal is to propose optimized strategies that enhance equity and efficiency in the allocation of donated ***/methodology/approachFirstly, the satisfaction function is constructed from two perspectives of the designated hospital and the Red Cross. On this basis, the fairness perception level of the two is portrayed. Then, we set the time weights, and construct a multi-objective programming model by combining the resource constraints in the social donation distribution process. The combined algorithm of nsga-ii and TOPSIS is also designed for model solving. Finally, an example of social donation distribution of the Red Cross Society of China Wuhan Branch is conducted for numerical *** analysis reveals that timely transmission of demand information favors a demand-oriented distribution strategy for optimal efficiency. However, in scenarios with poor demand information transmission, an equal distribution of social donations proves to be a more effective strategy. Equal distribution ensures rapid allocation while minimizing perceived unfairness at designated hospitals, ultimately improving overall satisfaction levels and emergency response *** implicationsThe findings provide practical insights for emergency response planners. These include translating the developed methods into guiding principles, establishing real-time monitoring systems, enhancing training for relevant departments, and implementing evaluation mechanisms. Practitioners can utilize this knowledge to optimize the efficiency of social donation distribution during sudden *** implicationsThe equitable distribution of social donations ensures efficient resource allocation and minimizes perceived unfairness, contributing to improved social satisfaction level

关键词： Social donation Multi-objective optimization Equitable distribution improved nsga-ii algorithm

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Research on flexible weaving planning based on nsga-ii algorithm

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JOURNAL OF INDUSTRIAL TEXTILES 2025年 55卷

作者： Dai, Ning Wu, Wenkang Xu, Kaixin Hu, Xudong Yuan, Yanhong Peng, Laihu Xu, Yushan Gan, Pengyuan Zhejiang Sci Tech Univ Key Lab Modern Text Machinery & Technol Zhejiang P 9282nd St Hangzhou 310018 Peoples R China Zhejiang Kangli Automat Technol Co Ltd Shaoxing Peoples R China

Facing the shift in the weaving industry from mass production to a more diversified, small-batch production model, traditional production scheduling systems are no longer capable of meeting the demand for rapid market response. To address this issue, this paper first analyzes the production process of a weaving workshop, identifying key scheduling challenges such as order allocation, equipment selection, and operation sequencing. Based on this analysis, a flexible job shop multi-objective scheduling model tailored for weaving workshops is developed. To handle the multiple constraints and optimization goals inherent in the model, an improved nsga-ii algorithm is proposed. This algorithm combines artificial bee colony (ABC) algorithm for population initialization with simulated annealing (SA) for population filtering. Simulation examples and case studies from actual workshops demonstrate that the improved nsga-ii algorithm outperforms other algorithms in solving the scheduling problem for weaving workshops. The proposed multi-objective scheduling model and its improved algorithm provide accurate and efficient optimization solutions for workshop scheduling.

关键词： improved nsga-ii algorithm weaving flexible scheduling duplex codec multi-objective optimization

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Schedule-cost optimization in high-rise buildings considering uncertainty

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ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT 2024年

作者： Huang, Jinting Ji, Ankang Xiao, Zhonghua Zhang, Limao Huazhong Univ Sci & Technol Wuhan Peoples R China Hong Kong Polytech Univ Hong Kong Peoples R China Hubei Ind Construct Grp Co Ltd Wuhan Peoples R China

PurposeThe paper aims to develop a useful tool that can reliably and accurately find the critical paths of high-rise buildings and provide optimal solutions considering the uncertainty based on Monte Carlo simulation (MCS) to enhance project implementation performance by assisting site workers and project managers in high-rise building ***/methodology/approachThis research proposes an approach integrating the improved nondominated sorting genetic algorithm ii (nsga-ii) considering uncertainty and delay scenarios simulated by MCS with the technique for order preference by similarity to an ideal *** results demonstrate that the proposed approach is capable of generating optimal solutions, which can improve the construction performance of high-rise buildings and guide the implementation management for shortening building engineering project schedule and cost under the delay *** limitations/implicationsIn this study, only the construction data of the two floors was focused due to the project at the construction stage, and future work can analyze the whole construction stage of the high-rise building to examine the performance of the approach, and the multi-objective optimization (MOO) only considered two factors as objectives, where more objectives, such as schedule, cost and quality, can be expanded in *** implicationsThe approach proposed in this research can be successfully applied to the construction process of high-rise buildings, which can be a guidance basis for optimizing the performance of high-rise building ***/valueThe innovations and advantages derived from the proposed approach underline its capability to handle project construction scheduling optimization (CSO) problems with different performance objectives under uncertainty and delay conditions.

关键词： Construction performance High-rise building Multi-objective optimization improved nsga-ii algorithm Monte Carlo simulation

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A many-to-many matching method considering priority for shared private idle parking spaces and demanders

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JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2024年第3期46卷 6133-6148页

作者： Jiang, Yanping Tang, Zhenpeng Song, Xinchao Shao, Xinran Northeastern Univ Sch Business Adm Shenyang Peoples R China Xinjiang Univ Sch Econ & Management Urumqi Peoples R China

There has been widespread and growing concern about parking. This paper attempts to provide decision support for a shared parking system to reduce parking difficulty. We study a many-to-many matching problem between shared private idle parking spaces and their demanders. A novelty is that the demanders are allowed to use different parking spaces successively in parking relocation service support. This can further reintegrate the idle time of the parking spaces and improve their utilization rate. A multi-objective optimization model is constructed to maximize the number of matched demanders, the total priority of the parking spaces, and the total priority of the demanders. More importantly, the priorities of the parking spaces and the demanders are innovatively considered. Each of the parking spaces and the demanders is given a priority for the matching and the priority of a parking space or a demander will be increased if the parking space or demander rarely gets matched successfully. This helps reduce the withdrawal of parking spaces and the demanders from the parking platform. In addition, an nsga-ii algorithm is designed to solve the model efficiently. Finally, the feasibility of the proposed method is illustrated via an example.

关键词： Sharing economy shared private idle parking space many-to-many matching parking priority improved nsga-ii algorithm

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