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Duck swarm algorithm: theory, numerical optimization, and applications
A swarm intelligence-based optimization algorithm, named Duck Swarm Algorithm (DSA), is proposed in this study, which is inspired by the searching...
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DeepSwarm: towards swarm deep learning with bi-directional optimization of data acquisition and processing
Inspired by the collective intelligence observed in natural swarms, where individual proactive actions contribute to superior global performance, we...
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A multi-threaded particle swarm optimization-kmeans algorithm based on MapReduce
The particle swarm optimization-K-Means algorithm is proposed by the related researchers to improve the clustering accuracy of the K-Means algorithm....
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Solving dynamic optimization problems using parent–child multi-swarm clustered memory (PCSCM) algorithm
The Particle Swarm Optimization (PSO) algorithm faces several inherent challenges when applied to dynamic and large-scale optimization problems....
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Hybrid Sand Cat Swarm Optimization Algorithm-based reliable coverage optimization strategy for heterogeneous wireless sensor networks
Network coverage plays an indispensable role in determining the Heterogeneous Wireless Sensor Networks (HWSNs) potentiality towards the process of...
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Multiprocessor Task Scheduling Optimization for Cyber-Physical System Using an Improved Salp Swarm Optimization Algorithm
Salp Swarm Algorithm (SSA) is a bio-inspired optimization algorithm used in this paper to optimize the multiprocessor scheduling process in the...
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Improved electrical coupling integrated energy system based on particle swarm optimization
The rational utilization of energy is an important issue for sustainable development. Electrically coupled integrated energy systems can enhance...
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Evolutionary state estimate-based adaptive multi-objective particle swarm optimization
With the widespread application of multi-objective optimization problems (MOPs) in fields such as engineering design, decision analysis, and resource...
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A novel hybrid differential particle swarm optimization based on particle influence
In a global optimization problem, the particle swarm optimization algorithm finds the global optimal solution through the movement of particles. Each...
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Population Diversity Management of Swallow Swarm Optimization Algorithm for Fuzzy Classification Problem
AbstractIn swarm algorithms, the need to measure population diversity arises in various contexts, such as in the adaptation of algorithm parameters,...
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An Improved Parallel Particle Swarm Optimization
In the area of global optimization, a variety of techniques have been developed to find the global minimum. These techniques, in most cases, require...
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A novel feature selection method based on adaptive search particle swarm optimization
As an effective method for data dimensionality reduction, feature selection could improve the classification accuracy and reduce the computational...
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Belief space-guided approach to self-adaptive particle swarm optimization
Particle swarm optimization (PSO) performance is sensitive to the control parameter values used, but tuning of control parameters for the problem at...
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Navigation variable-based multi-objective particle swarm optimization for UAV path planning with kinematic constraints
Path planning is essential for unmanned aerial vehicles (UAVs) as it determines the path that the UAV needs to follow to complete a task. This work...
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Improved sandcat swarm optimization algorithm for solving global optimum problems
The sand cat swarm optimization algorithm (SCSO) is a metaheuristic algorithm proposed by Amir Seyyedabbasi et al. SCSO algorithm mimics the...
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A hovering swarm particle swarm optimization algorithm based on node resource attributes for hardware/software partitioning
Hardware/software (HW/SW) partitioning is a vital aspect of HW/SW co-design. With the development of the design complexity in heterogeneous computing...
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A two-level particle swarm optimization: profiling and software/hardware implementation
Particle swarm optimization (PSO), a population-based stochastic method, was developed to address difficult optimization issues like the flexible job...
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Optimization by the Swarm of Transforming Chromosomes Method
AbstractA new strategy for finding effective solutions based on modification and hybridization of the canonical representations of the particle swarm...
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Enhancing federated learning with dynamic weight adjustment based on particle swarm optimization
Federated learning (FL) stands as a promising distributed machine learning approach today, allowing model training on local clients without data...
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Optimization of mixture ratios of raw materials in thermoplastic hybrid composites based on particle swarm optimization algorithm
In recent years, the high cost of searching and processing raw materials and the fact that raw material resources have come to the point of depletion...
