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Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment
To address the issue of traditional factor graph methods being unable to handle the dynamic change in sensor measurement accuracy during the...
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A Real-time Path Planning Algorithm for Mobile Robots Based on Safety Distance Matrix and Adaptive Weight Adjustment Strategy
The fusion of the A* and the dynamic windowing algorithm is commonly used for the path planning of mobile robots in dynamic environments. However,...
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A decomposition-based many-objective evolutionary algorithm with weight grou** and adaptive adjustment
Multiobjective evolutionary algorithms based on decomposition (MOEA/D) have attracted tremendous interest and have been thoroughly developed because...
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Nonlinear swimming magnetically driven microrobot influenced by a pulsatile blood flow through adaptive backstep** control having weight estimation
In order to improve the microrobot dynamics and control, characterizing the underlying factors contributes to a better understanding of this...
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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference system
A falling weight deflectometer is a testing device used in civil engineering to measure and evaluate the physical properties of pavements, such as...
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An Adaptive Inertia Weight Particle Swarm Optimization Algorithm for Partial Discharge Localization in Assembling Capacitor
Assembling capacitor plays an important role in the power grid. The health of assembling capacitor is essential for the power grid’s stability and...
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Research on Improved PIO Based on Adaptive Inertia Weight Strategy and Fruit Fly Optimization Strategy
RMSFOPIO is an improved pigeon-inspired optimization. It is improved by using adaptive inertia weight strategy and fruit fly optimization strategy....
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An enhanced whale optimization algorithm with improved dynamic opposite learning and adaptive inertia weight strategy
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in...
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A Binary Risk Linguistic Fuzzy Behavioral TOPSIS Model for Multi-attribute Large-Scale Group Decision-Making Based on Risk Preference Classification and Adaptive Weight Updating
In practical decision-making, linguistic term set is a useful tool to describe the uncertainty and fuzziness of data sources. However, in some...
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Optimizing of Discrete Time-Cost in Construction Projects Using New Adaptive Weight Formulations
In this paper, four new adaptive weight formulations are developed to enhance the performance of traditional Modified Adaptive Weight Approach...
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A New GA-PSO Optimization Methodology with Fuzzy Adaptive Inertial Weight
In this paper, a new optimization methodology is proposed concerning to hybridization involving Genetic Algorithm and Particle Swarm Optimization...
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An Adaptive Weight A* Algorithm Applied to UAV Path Planning
An improved A* algorithm based on adaptive weighting strategy is proposed to address the problems of long search time, large range, and a large...
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Adaptive Recursive Correction LANDMARC Positioning Algorithm Based on Weight Optimization
The traditional LANDMARC indoor positioning algorithm based on radio frequency identification is susceptible to changes in the position of the target...
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Perceptual Energy Weight Matrix Based Adaptive Block Compressed Sensing for Marine Image Compression
The compressed sensing (CS) achieves compression at sub-nyquist sampling rate, and hence, it is widely applied for image compression applications. CS...
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A Method of Analytical Calculation of Dynamic Characteristics of Digital Adaptive Filters with Parallel-Sequential Weight Summation
In this article, we present the result of the research concerning the development of a method for analytical calculation of the dynamic...
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Adaptive weight butterfly optimization algorithm (AWBOA) based cluster head selection (CHS) and optimized energy efficient cluster based scheduling (OEECS) approach in wireless sensor networks (WSNS)
This research offers an Energy Efficient Cluster-based Scheduling Scheme to address excessive network energy consumptions and data latencies caused...
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Greedy Weight Matrix Topological Adaptive Ad Hoc On-demand Multipath Distance Vector Protocol for QOS Improvement in MANET
The Mobile Ad Hoc Network (MANET) dominates the wireless network environment and the output of MANET is significantly affected by the flexibility and...
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Dynamic Weight-based Multi-Objective Reward Architecture for Adaptive Traffic Signal Control System
An Adaptive Traffic Signal Control (ATSC) system uses real-time traffic information to control traffic lights and makes the public transport system...
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Self-adaptive weight vector adjustment strategy for decomposition-based multi-objective differential evolution algorithm
In multi-objective and many-objective optimization, weight vectors are particularly crucial to the performance of decomposition-based optimization...
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A decomposition-based evolutionary algorithm with adaptive weight adjustment for many-objective problems
For many-objective optimization problems (MaOPs), how to get a set of solutions with good convergence and diversity is a difficult and challenging...
