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Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem
Published 2023-07-01Subjects: “…Swarm Intelligence…”
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Simulation Study of Swarm Intelligence Based on Life Evolution Behavior
Published 2015-01-01“…Swarm intelligence (SI) is a new evolutionary computation technology, and its performance efficacy is usually affected by each individual behavior in the swarm. …”
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Exercise Behavior Prediction and Injury Assessment Based on Swarm Intelligence Algorithm
Published 2021-01-01“…This leads to a high number of injuries caused by sports every year. However, swarm intelligence algorithm has made few breakthrough achievements in the past few years, and the combination of sports behavior and swarm intelligence algorithm can just solve this problem. …”
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SWAMI: A SWARM-INTELLIGENT OPTIMIZATION TECHNIQUE FOR VOLTAGE COLLAPSE MITIGATION
Published 2022-09-01“… In this paper, a voltage collapse optimization system based on comparative studies of swarm-intelligent techniques is proposed for voltage collapse mitigation in power system network. …”
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A hybrid swarm intelligent optimization algorithm for antenna design problems
Published 2025-02-01Get full text
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A Dynamic Multistage Hybrid Swarm Intelligence Optimization Algorithm for Function Optimization
Published 2012-01-01“…A novel dynamic multistage hybrid swarm intelligence optimization algorithm is introduced, which is abbreviated as DM-PSO-ABC. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes
Published 2024-03-01Subjects: Get full text
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A Hybrid Swarm Intelligence Algorithm for Intrusion Detection Using Significant Features
Published 2015-01-01Get full text
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease
Published 2025-02-01“…The results of this study show that swarm intelligence algorithms can effectively screen key and informative feature sets, significantly improve model classification accuracy, and provide strong support for the early diagnosis of cardiovascular diseases.…”
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Construction of Gene Regulatory Networks Using Recurrent Neural Networks and Swarm Intelligence
Published 2016-01-01“…We have introduced a new hybrid swarm intelligence framework for the accurate training of the model parameters. …”
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A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search-Based Software Engineering
Published 2023-01-01“…Swarm intelligence algorithms are metaheuristics inspired by the collective behavior of species such as birds, fish, bees, and ants. …”
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Hybrid Swarm Intelligence Optimization Approach for Optimal Data Storage Position Identification in Wireless Sensor Networks
Published 2015-01-01“…The works that have been carried out earlier did not utilize swarm intelligence based optimization approaches to find the optimal data storage positions. …”
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Swarm intelligence–based energy efficient clustering with multihop routing protocol for sustainable wireless sensor networks
Published 2020-09-01“…Clustering and routing processes are considered as an optimization problem in wireless sensor network which can be resolved by the use of swarm intelligence–based approaches. This article presents a novel swarm intelligence–based clustering and multihop routing protocol for wireless sensor network. …”
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Intelligent rockburst level prediction model based on swarm intelligence optimization and multi-strategy learner soft voting hybrid ensemble
Published 2025-01-01“…This research is developing a smart model to predict rockburst levels by combining advanced swarm intelligence with a hybrid ensemble method that uses multiple strategies and classifiers for soft voting. …”
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Fuzzy-Swarm Intelligence-Based Short-Term Load Forecasting Model as a Solution to Power Quality Issues Existing in Microgrid System
Published 2022-01-01“…The fuzzy load prediction model can effectively handle these nonlinearity and uncertainty characteristics to have an accurate load forecast, but the main challenge with this model is its inability to accommodate a large volume of historical load and weather information when the membership function of the input and output fuzzy variables and the number of the fuzzy rules are tremendous. The swarm intelligence load forecast model based on particle swarm optimization algorithms can improve the limitations of the fuzzy system and increase its forecasting performance. …”
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