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581
Artificial Afterimage Algorithm: A New Bio-Inspired Metaheuristic Algorithm and Its Clustering Application
Published 2025-01-01“…In this study, a new, metaheuristic method called the afterimage algorithm is proposed. The proposed method was developed inspired by the fact that when we close our eyes after looking at a luminous image for a while, the vision still occurs in our minds. …”
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582
Multi-objective layout optimization of hospital outpatient clinics based on NSGA II
Published 2025-04-01“…Abstract This study utilizes an improved NSGA-II algorithm to conduct a multi-objective optimization of the hospital outpatient department layout. …”
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583
Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection
Published 2025-01-01“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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584
A Study on Container Storage Optimization in Yards Based on a Hyper-Heuristic Algorithm with a Q-Learning Mechanism
Published 2025-06-01“…The objective is to minimize the carbon emissions and the number of container rehandling operations in ports, for which a mixed-integer linear programming model is built. Both heuristic algorithms and hyper-heuristic algorithms are employed to optimize the container storage plan, and their applicability in storage optimization is compared. …”
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585
Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT
Published 2025-07-01“…We prove that this problem has a monotonically increasing and submodular objective function and develop an efficient algorithm that achieves a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>−</mo><mstyle scriptlevel="0" displaystyle="true"><mfrac><mn>1</mn><mi>e</mi></mfrac></mstyle><mo>≈</mo><mn>0.63</mn></mrow></semantics></math></inline-formula> approximation ratio to the optimal solution. …”
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586
Coverage optimization of wireless sensor network utilizing an improved CS with multi-strategies
Published 2025-08-01“…For WSN coverage optimization, the ICS-MS algorithm outperforms comparative algorithms. …”
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587
Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms
Published 2025-02-01“…Despite this trade-off, the algorithm’s ability to minimize fleet size while fully utilizing vehicle capacity makes it the optimal choice in scenarios where these factors are critical. …”
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588
Multi-objective: hybrid particle swarm optimization with firefly algorithm for feature selection with Leaky ReLU
Published 2025-07-01“…This study proposes a novel optimization algorithm, LR-GPSOFA, designed to improve feature selection by enhancing computational efficiency and classification accuracy. …”
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589
A Hybrid Genetic Algorithm and Proximal Policy Optimization System for Efficient Multi-Agent Task Allocation
Published 2025-06-01“…The genetic component promotes broader policy exploration beyond local optima, while the proximal policy optimization ensures update stability and sample efficiency. …”
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590
Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach
Published 2022-11-01Get full text
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591
An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies
Published 2025-04-01“…This paper proposes an improved fluid flow algorithm, aiming to enhance the computational efficiency of hydraulic fracturing simulations while ensuring computational accuracy. …”
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592
Design Optimization of Secondary Element of Single-Sided Linear Induction Motors Using a Genetic Algorithm
Published 2021-12-01“…The optimality criterion included maximizing the power factor and efficiency, as well as the rigidity of the mechanical characteristic while ensuring a starting traction force of at least a set value. …”
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593
Improved PESA algorithm based on comentropy
Published 2013-11-01“…Aiming at the issue that the computational effort the complexity and the running time of PESA algorithm are increasing rapidly with the growth of the solutions set number, a comentropy-based PESA algorithm (C-PESA) by merg-ing the entropy value metric into PESA algorithm was proposed. …”
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594
Optimal Reactive Power Generation for Radial Distribution Systems Using a Highly Effective Proposed Algorithm
Published 2021-01-01“…It is emphasized that the proposed method can find the global optimal solutions for all study cases while SFS was still implementing search process nearby or far away from the solutions. …”
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595
Joint Optimization of Route and Speed for Methanol Dual-Fuel Powered Ships Based on Improved Genetic Algorithm
Published 2025-04-01“…Additionally, comparative experiments reveal that the designed algorithm outperforms both the GA and the Linear Interactive and General Optimizer (LINGO) solver for identifying optimal route and speed solutions. …”
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596
Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects
Published 2025-01-01“…We discuss representative methods commonly employed in nanophotonic design, including various meta-heuristic algorithms such as trajectory-based, evolutionary, and swarm-based approaches, in addition to adjoint-based optimization. …”
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597
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598
Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm
Published 2025-03-01“…This study focuses on optimizing energy efficiency and environmental performance in the production of cotton and canola through the application of the Imperialist Competitive Algorithm (ICA). …”
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599
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Joint optimization algorithm for 6G network task offloading and fine-grained slice resource scheduling
Published 2024-05-01“…The simulation results show that, compared with the traditional algorithm, the proposed algorithm can reduce the computing cost while meeting the business needs of users. …”
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