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A scalable memory-enhanced swarm intelligence optimization method: fractional-order Bat-inspired algorithm
The Bat-inspired algorithm (BA), as one of the swarm intelligence algorithms, has a high potential for solving global optimization problems. This...
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Simulation based swarm intelligence optimization to develop manufacturing distribution plan
Integrated manufacturing-distribution planning increases profitability of business and reduces the cost incurred in the management of any supply...
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Structural optimization of unsymmetrical eccentric load steel box girder based on new swarm intelligence optimization algorithm
The steel box girder structure is widely used in many engineering practices and it is therefore necessary to study the optimization and improvement...
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An artificial-intelligence-driven product design framework with a synergistic combination of Genetic Algorithm and Particle Swarm Optimization
In recent years, China's rapid advancements in artificial intelligence (AI) technology have positioned it as a global leader in information...
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Design Optimization of Soil-Metal Composite Arch Bridges: Recent Swarm Intelligence Applications
More economical construction of composite soil-metal structure, as an appropriate alternative to traditional concrete and steel bridges, is of utmost...
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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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Solving the Global Optimization Problem with Swarm Intelligence
Swam intelligence is based on the principles of behavior of living creatures. The formalized algorithmic behavior of these creatures allows solving... -
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... -
Swarm Intelligence Based Nonlinear Friction and Dynamic Parameters Identification for a 6-DOF Robotic Manipulator
The accurate dynamic model for industrial robots is required to enhance their efficiency in expanding their range of applications and carrying out...
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A Brief Tutorial on Optimization Problems, Optimization Algorithms, Meta-Heuristics, and Swarm Intelligence
This chapter provides preliminaries and essential definitions in optimization, meta-heuristics, and swarm intelligence. It starts with different... -
Particle Swarm Optimization
In this chapter, a new artificial intelligence optimization tool, a detailed introduction for particle swarm optimization (PSO) is presented here.... -
An efficient hybrid swarm intelligence optimization algorithm for solving nonlinear systems and clustering problems
This article proposes a new hybrid swarm intelligence optimization algorithm called monarch butterfly optimization (MBO) algorithm with cuckoo search...
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Hawk and pigeon’s intelligence for UAV swarm dynamic combat game via competitive learning pigeon-inspired optimization
For unmanned aerial vehicle (UAV) swarm dynamic combat, swarm antagonistic motion control and attack target allocation are extremely challenging...
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Improved Artificial Rabbit Optimization Algorithm Fused with Particle Swarm Optimization for Wireless Sensor Network Coverage Optimization
Aiming at the problem of low node coverage during node deployment in wireless sensor network (WSN), an improved artificial rabbit optimization...
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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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Swarm Intelligence-based Modeling and Multi-objective Optimization of Welding Defect in Electron Beam Welding
The process parameters involved in electron beam welding have major influences on spiking and penetration efficiency of the joint. In addition to...
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Enterprise financial early warning based on improved particle swarm optimization algorithm and data mining
In the Internet era, enterprises are surrounded by massive information, and the information ability of effective organization is becoming more and...
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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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Global Localization of Unmanned Ground Vehicles Using Swarm Intelligence and Evolutionary Algorithms
Mobile robot localization is a complex task, specially in unstructured indoor environments, due to noise and wrong scan-to-map association. The...
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Introductory Review of Swarm Intelligence Techniques
With the rapid upliftment of technology, there has emerged a dire need to ‘fine-tune’ or ‘optimize’ certain processes, software, models or...