Search Results - "Improved multi-objective particle swarm algorithm"
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Optimization of deep excavation construction using an improved multi-objective particle swarm algorithm
ISSN: 0926-5805Published: Elsevier B.V 01.10.2024Published in Automation in construction (01.10.2024)“…Managing construction uncertainties, especially those affecting safety and the environment, is critical in optimizing deep excavation projects. This paper…”
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Optimal allocation model of port emergency resources based on the improved multi-objective particle swarm algorithm and TOPSIS method
ISSN: 0025-326X, 1879-3363, 1879-3363Published: England Elsevier Ltd 01.12.2024Published in Marine pollution bulletin (01.12.2024)“…The busy maritime traffic and occurrence of ship accidents have led to a growing recognition of the necessity to maritime emergency resources allocation. The…”
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Optimization of Renewable Energy Hydrogen Production Systems Using Volatility Improved Multi-Objective Particle Swarm Algorithm
ISSN: 1996-1073, 1996-1073Published: Basel MDPI AG 01.05.2024Published in Energies (Basel) (01.05.2024)“…Optimizing the energy structure to effectively enhance the integration level of renewable energy is an important pathway for achieving dual carbon goals. This…”
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Scheduling optimization of a regionally integrated energy system based on an improved multi-objective particle swarm algorithm
ISSN: 2352-4847, 2352-4847Published: Elsevier Ltd 01.12.2025Published in Energy reports (01.12.2025)“…With the transformation of the global energy structure, the regional integrated energy system (RIES) has become one of the research hotspots due to the…”
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Optimal design of right-angle viscoelastic dampers for seismic performance of ancient timber structure via improved multi-objective particle swarm algorithm
ISSN: 2352-0124, 2352-0124Published: Elsevier Ltd 01.07.2025Published in Structures (Oxford) (01.07.2025)“…) is proposed and the optimal design of RVD for seismic performance via improved multi-objective particle swarm algorithm (IMOPSA) is investigated…”
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Design and analysis of a renewable energy power system for shale oil exploitation using hierarchical optimization
ISSN: 0360-5442, 1873-6785Published: Oxford Elsevier Ltd 01.09.2020Published in Energy (Oxford) (01.09.2020)“… A hierarchical optimization model was developed to optimize the capacity allocation of the microgrid components, which employs HOMER to initial optimization, then an improved multi-objective particle…”
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Power system optimal dispatch considering wind farms based on improved multi-objective particle swarm algorithm
ISSN: 1674-3415Published: 01.09.2013Published in Dianli Xitong Baohu yu Kongzhi (01.09.2013)“…Wind power has the characteristics of randomness and volatility, so conventional power system analysis, dispatch and control meet new challenges. This paper…”
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Path planning based on improved multi-objective particle swarm algorithm
Published: IEEE 01.06.2020Published in 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC) (01.06.2020)“…This paper proposes an improved multi-objective particle swarm algorithm (MOPSO) to solve the path planning problem of mobile robots…”
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Conference Proceeding -
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Optimization of Sailing Speed for Inland Electric Ships Based on an Improved Multi-Objective Particle Swarm Optimization (MOPSO) Algorithm
ISSN: 2077-1312, 2077-1312Published: Basel MDPI AG 01.08.2024Published in Journal of marine science and engineering (01.08.2024)“…Sailing speed is a critical factor affecting the ship’s energy consumption and operating costs for a voyage. Inland waterways present a complex navigation…”
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Application of an improved multi-objective particle swarm algorithm in power purchase risk assessment
ISSN: 1674-3415Published: 16.04.2012Published in Dianli Xitong Baohu yu Kongzhi (16.04.2012)“…This paper proposes an improved multi-objective particle swarm optimization algorithm. The algorithm improves the local search ability by introducing the idea…”
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A multi-objective trajectory planning method of the excavator based on the modified multi-objective particle swarm algorithm
Published: IEEE 25.10.2024Published in 2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE) (25.10.2024)“… Building on the traditional multi-objective particle swarm optimization algorithm, we construct an improved multi-objective particle swarm algorithm by incorporating adaptive inertia weights…”
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Conference Proceeding -
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A port-hinterland hub network design method for reefer containers considering time-varying demands and diverse supporting service requirements
ISSN: 0020-7543, 1366-588XPublished: London Taylor & Francis 18.10.2025Published in International journal of production research (18.10.2025)“… An improved multi-objective particle swarm algorithm is developed to efficiently solve the model…”
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An automatic teeth arrangement method based on an intelligent optimization algorithm and the Frenet–Serret formula
ISSN: 1746-8094Published: Elsevier Ltd 01.07.2025Published in Biomedical signal processing and control (01.07.2025)“… between teeth and dental arch curve and dentition symmetry as optimization objectives, and proposing an improved multi-objective particle swarm algorithm for solution…”
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Parametric modeling and optimization of the intake and exhaust phases of a hydrogen Wankel rotary engine using parallel computing optimization platform
ISSN: 0016-2361Published: Elsevier Ltd 15.09.2022Published in Fuel (Guildford) (15.09.2022)“…). An improved multi-objective particle swarm algorithm implemented with the Sobol sequence was introduced in this study, which makes it superior in global search…”
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Order matching mechanism of the production intermediation internet platform between retailers and manufacturers
ISSN: 0268-3768, 1433-3015Published: London Springer London 01.07.2021Published in International journal of advanced manufacturing technology (01.07.2021)“…Taking the real-world Internet platform “Tao Factory” of Alibaba as an example, the order matching mechanism between manufacturers and retailers is studied…”
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Collaborative Optimization of Vehicle and Crew Scheduling for a Mixed Fleet with Electric and Conventional Buses
ISSN: 2071-1050, 2071-1050Published: Basel MDPI AG 01.03.2022Published in Sustainability (01.03.2022)“…Replacing conventional buses with electric buses is in line with the concept of sustainable development. However, electric buses have the disadvantages of…”
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Multi-objective Optimal Dispatch of Multi-energy Complementary Systems Considering Environmental Factors
ISSN: 1934-1768Published: Technical Committee on Control Theory, Chinese Association of Automation 28.07.2024Published in Chinese Control Conference (28.07.2024)“…} emission, the operation cost of desulfurization and denitrification, and carbon trading. An improved multi-objective particle swarm algorithm which can accelerate…”
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Conference Proceeding -
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Inventory Control Method of Reverse Logistics for Shipping Electronic Commerce Based on Improved Multi-objective Particle Swarm Optimization Algorithm
ISSN: 0749-0208, 1551-5036Published: Fort Lauderdale Coastal Education and Research Foundation 04.05.2019Published in Journal of coastal research (04.05.2019)“… Based on the improved multi-objective particle swarm algorithm, a method of inventory control of reverse logistics for shipping electronic commerce was proposed…”
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Dynamic construction strategy of the virtual power plant based on day-ahead-intraday joint scheduling
ISSN: 1742-6588, 1742-6596Published: Bristol IOP Publishing 01.11.2024Published in Journal of physics. Conference series (01.11.2024)“…As a new technological form, the virtual power plant can aggregate the distributed resources of each plant to explore the potential of distributed energy…”
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Optimization study of wind, solar, hydro and hydrogen storage based on improved multi-objective particle swarm optimization
ISSN: 2352-152X, 2352-1538Published: Elsevier Ltd 15.07.2024Published in Journal of energy storage (15.07.2024)“…Accelerating the construction of a new energy system, vigorously advancing the development of renewable energy, and establishing a new complementary…”
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