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401
Exploring Evolutionary Algorithms for Optimal Power Flow: A Comprehensive Review and Analysis
Published 2024-10-01“…It has been more than five decades since optimum power flow (OPF) emerged as one of the most famous and frequently used nonlinear optimization problems in power systems. …”
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402
Improved Crosstalk Reduction on Multiview 3D Display by Using BILS Algorithm
Published 2014-01-01“…Furthermore, an improved crosstalk reduction method is proposed to alleviate crosstalk by searching for the optimal integral intensity values of subpixels on the synthetic image. …”
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403
Computer-Aided Quantum Algorithms for Real-Time Energy Market Trading
Published 2025-01-01Get full text
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404
Regression Test Suite Minimization Using Modified Artificial Ecosystem Optimization Algorithm
Published 2021-01-01“…This paper proposes an effective approach for regression test suite minimization using Artificial Ecosystem Optimization algorithm. To improve its performance a modified Artificial Ecosystem Optimization algorithm is proposed for Test case minimization. …”
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405
The optimal dispatching strategy of cogeneration based on Deep Q-Network (DQN) algorithm
Published 2024-01-01“…Acknowledging the constraints of flexibility in winter heating, the study aims to improve unit coal use optimization and lower emissions. …”
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406
Research on Parallel Multi-objective Optimal Submarine Cable Route Planning Algorithm
Published 2025-04-01“…【Objective】In order to solve the problem that the traditional Ant Colony Optimization (ACO) algorithm updates the same map, resulting in the inability of parallel planning, a parallel multi-objective optimization submarine cable route planning algorithm is proposed in this paper, which realizes the precise planning of local areas.…”
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407
Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms
Published 2024-06-01“…ML models are used to predict compressive strength, while genetic algorithms optimize the mixture cost under quality constraints. …”
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408
Using The Hybrid GA-Ant Algorithm To Find The Optimal Path In Computer Networks
Published 2022-06-01“…In order to research and find the optimal path, the improved ant algorithm was used to explore the network, using smart beams, getting the paths generated by ants and then using them as inputs into the genetic algorithm in the form of arranged pairs of chromosomes. …”
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409
Optimization model for enterprise financial management utilizing genetic algorithms and fuzzy logic
Published 2025-04-01“…A multi-objective mathematical model is first developed to establish key optimization goals, including cost reduction, improved capital utilization, and increased economic benefits. …”
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410
Path Planning of UAV Using Levy Pelican Optimization Algorithm In Mountain Environment
Published 2024-12-01“…Research has found that the improved LPOA optimizes the total target cost of the algorithm by 9.75% and optimizes the planned average shortest path by 20.30%.…”
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411
Image information optimization processing based on fractional order differentiation and WT algorithm.
Published 2025-01-01“…To improve the quality of complex images, research proposes an image information optimization processing method based on fractional order differentiation and WT algorithm. …”
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412
Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm
Published 2013-01-01“…In order to dealing with ORHML, an improved hybrid ant colony algorithm (HACA) was devised. …”
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413
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414
A Mutual Algorithm for Optimizing Distributed Source Coding in Wireless Sensor Networks
Published 2012-02-01“…This paper presents contributions to the lifetime optimization problem of WSNs in the form of two algorithms: the Updated-CMAX (UCMAX) power-aware routing algorithm to optimize the routing tree and the Rate Optimization (RO) algorithm to optimize the encoding rates of the nodes. …”
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415
Study of the ternary correlation quantum-behaved PSO algorithm
Published 2015-03-01“…In order to more effectively utilize existing information and improve QPSO's (quantum-behaved particle swarm optimization) convergence performance, the ternary correlation QPSO (TC-QPSO) algorithm was proposed based on the analysis of the random factors in location formula. …”
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416
Integration of improved APF and RRT algorithms for enhanced path planning in mobile robotics
Published 2025-04-01“…Firstly, the mathematical model of the traditional APF algorithm was improved to solve the problems of unbalanced force and unreachable targets. …”
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417
A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm
Published 2025-06-01“…The research also matches findings by Gabi et al. (2004) and Chen and Wang (2009) regarding components such as price, cost, quality, delivery time, and technological capabilities.The genetic algorithm, used as an intelligent tool in this study, allowed for the analysis and optimization of multiple criteria, including managerial capabilities, skilled staff, IT facilities, number of completed projects, technology readiness, and project completion time. …”
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418
Study of the ternary correlation quantum-behaved PSO algorithm
Published 2015-03-01“…In order to more effectively utilize existing information and improve QPSO's (quantum-behaved particle swarm optimization) convergence performance, the ternary correlation QPSO (TC-QPSO) algorithm was proposed based on the analysis of the random factors in location formula. …”
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419
An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm
Published 2024-10-01“…This paper introduces an optimization method for multi-robot automated control welding based on a Particle Swarm Genetic Algorithm (PSGA), aiming to address issues such as high costs, large footprint, and excessive production cycles in multi-robot welding production lines. …”
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420
Optimization of Time-Varying Temperature Profiles for Enhanced Beer Fermentation by Evolutive Algorithms
Published 2024-12-01“…This method integrates Fourier series and orthogonal polynomials for control action parameterization, in combination with evolutionary algorithms for parameter optimization. A key advantage of this methodology lies in its ability to handle a reduced parameter set efficiently, resulting in temperature profiles that are continuous and differentiable. …”
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