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Improved Jaya Algorithm with Inertia Weight Factor
The newly established Jaya algorithm has a simple structure and just requires a small set of control parameters to be optimized. Though it has scope...
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Ant lion optimization based inertia weight optimized KGMO for mobility Management in Heterogeneous LTE cellular networks
This study proposes a hybrid optimization-based mobility management strategy employing Kinetic Gas Molecular Optimization (KGMO) and Ant Lion...
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Speed Control of PMSM Using Modified Particle Swarm Optimization Technique Based on Inertia Weight Updating Mechanism
In this paper, the modified Particle Swarm Optimization (PSO) algorithm is implemented to tune the gain parameters of the PI speed controller of the...
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Fusion of Nonlinear Inertia Weight and Probability Mutation for Binary Particle Swarm Optimization Algorithm
With the rapid development of Internet information technology, vast amounts of textual data are constantly emerging. However, raw data is often...
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Planted (l, d) motif search using Bat algorithm with inertia weight and opposition based learning
Understanding the molecular mechanism of transcriptional regulation is the fundamental task of identifying and characterizing gene regulatory binding...
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LSTM-UBI: a user behavior inertia based recommendation method
Practice shows that human behavior has certain patterns, also called as behavioral inertia. It often plays a crucial role in user’s decision-making....
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A new adaptive tuned Social Group Optimization (SGO) algorithm with sigmoid-adaptive inertia weight for solving engineering design problems
Evolutionary algorithms have found enormous applications in solving real-world problems due to their stochastic nature. They have a set of control...
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Forced Movement Extensions of the Particle Swarm Optimizers with Inertia Weight
This paper investigates some ideas for extending the IPSO method. We design an IPSO-based procedure that combines the adaptive coefficients and...
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Clustering and classification with inertia weight and elitism-based particle swarm optimization
Clustering and classification-based pattern recognition techniques are widely used in various domains. While many approaches exist to perform these...
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A New Adaptive Inertia Weight Based Multi-objective Discrete Particle Swarm Optimization Algorithm for Community Detection
A multi-objective discrete particle swarm optimization (MODPSO) algorithm is useful in accurately identifying communities in a network by avoiding...
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Design and Variable Parameter Control Strategy of Weight Support Gait Training Robot
The body weight support walking training robot is a rehabilitation device used to improve the basic walking ability of the lower limbs of patients...
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Measuring Convergence Inertia: Online Learning in Self-adaptive Systems with Context Shifts
To deal with situations not specifically designed for (unknown-unknowns), self-adaptive systems need to learn the best – or at least good enough –...
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A novel upgraded bat algorithm based on cuckoo search and Sugeno inertia weight for large scale and constrained engineering design optimization problems
The bat algorithm (BA) is one of prominent swarm-based algorithm that has the suitability in solving only small dimension engineering problems and...
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Weight Prediction Boosts the Convergence of AdamW
In this paper, we introduce weight prediction into the AdamW optimizer to boost its convergence when training the deep neural network (DNN) models....
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A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle
In molecular biology, functions are produced by a set of macromolecules that interact at different levels. Genes and their products, proteins,...
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Artificial electric field algorithm with inertia and repulsion for spherical minimum spanning tree
Artificial electric field algorithm (AEFA) is a potential global optimization algorithm proposed in recent years and has been successfully applied to...
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Adaptive Salp swarm optimization algorithms with inertia weights for novel fake news detection model in online social media
Recently, social media are the most popular way of consuming news for people due to their fast, low cost, and easy accessibility. Unfortunately, in...
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Membership Weight Salp Swarm Algorithm (MWSSA) based feature selection and deep learning approach for breast cancer classification of SNP genomics data
Single Nucleotide Polymorphisms refer to variations in individual Deoxyribonucleic Acid bases, serving as potential clinical phenoty** markers....
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Improved Dragonfly Algorithm Based on Mixed Strategy
With the rapid development of today, the swarm intelligence optimization algorithm is very popular and has been used in many fields. Dragonfly...
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Hybrid particle swarm optimization algorithm for text feature selection problems
Feature selection (FS) is a crucial preprocessing step that aims to eliminate irrelevant and redundant features, reduce the dimensionality of the...
