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Chaotic Particle Swarm Optimization
Particle Swarm Optimization (PSO) is one of the most important algorithms in the field of swarm intelligence. This algorithm is inspired by social...
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Particle Swarm Optimization
In this chapter, a new artificial intelligence optimization tool, a detailed introduction for particle swarm optimization (PSO) is presented here....
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A sequential quadratic programming based strategy for particle swarm optimization on single-objective numerical optimization
Over the last decade, particle swarm optimization has become increasingly sophisticated because well-balanced exploration and exploitation mechanisms...
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Novel WSN Coverage Optimization Strategy Via Monarch Butterfly Algorithm and Particle Swarm Optimization
Wireless sensor networks (WSNs) have issues with duplication and comparatively expensive network installation costs. A unique approach to maximizing...
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Particle Swarm Optimization in 3D Medical Image Registration: A Systematic Review
Medical image registration seeks to find an optimal spatial transformation that best aligns the underlying anatomical structures. These problems...
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A novel hybrid pelican-particle swarm optimization algorithm (HPPSO) for global optimization problem
Particle Swarm Optimization (PSO) has drawn attention due to its widespread use in scientific and engineering fields. However, it suffers from a...
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Feature selection with clustering probabilistic particle swarm optimization
Dealing with high-dimensional data poses a significant challenge in machine learning. To address this issue, researchers have proposed feature...
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PSO-ECM: particle swarm optimization-based evidential C-means algorithm
As an extension of Fuzzy C-Means (FCM), Evidence C-Means (ECM) is proposed in the framework of Dempster–Shafer theory (DST) and has been applied to...
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A modified hybrid particle swarm optimization based on comprehensive learning and dynamic multi-swarm strategy
Particle swarm optimization (PSO) is a simple yet efficient population-based algorithm that handles various optimization problems. Nevertheless,...
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Numerical control machining step error calculation based on hybrid particle swarm optimization method
Step error is the machining error between adjacent cutter location points in the feeding direction. In order to improve the computational efficiency,...
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An improved dynamic weighted particle swarm optimization (IDW-PSO) for continuous optimization problem
In this Study we found that Learning from the natural phenomenon of the social animal is the best way to learn and getting a best mechanism for...
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Bilevel-search particle swarm optimization algorithm for solving LSGO problems
Improving the efficiency of solving complex optimization problems is the focus of intelligent algorithm research in recent years. Complex...
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A simple and scalable particle swarm optimization structure based on linear system theory
Since it was first presented, particle swarm optimization (PSO) has experienced numerous improvements as a traditional optimization approach. PSO...
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Heterogeneous differential evolution particle swarm optimization with local search
To develop a high performance and widely applicable particle swarm optimization (PSO) algorithm, a heterogeneous differential evolution particle...
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Copper Concentrate Blending and Melting Prediction Based on Particle Swarm Optimization Algorithm
The purpose of smelting is to enrich most of the copper in the copper concentrate in the matte phase. The gangue, oxides and impurity elements were...
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Applying Machine Learning and Particle Swarm Optimization for predictive modeling and cost optimization in construction project management
The process of cost optimization in construction projects entails the systematic reduction of expenses and the maximization of value through the...
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Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy
With the development of 5 g, computing-intensive and complex applications in smart-city is growing rapidly. Due to the limited resources of mobile...
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Improved particle swarm optimization algorithm based on grou** and its application in hyperparameter optimization
In this article, an Improved Particle Swarm Optimization (IPSO) is proposed for solving global optimization and hyperparameter optimization. This...
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Fixture layout optimization for large thin-walled parts based on improved particle swarm optimization algorithm
Large thin-walled parts are generally featured with large in-plane dimension and thin thickness. This kind of parts deforms easily under the action...
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Urban Landscape Design Optimization System Based on Improved Particle Swarm Optimization Algorithm
We proposed an improved particle swarm optimization algorithm for urban landscape planning. The introduction of uncertainty dynamic inertia weight...