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An evolutionary swarm intelligence optimizer based on probabilistic distribution
In this study, we propose a novel approach to balance exploitation and exploration. The proposed approach is the Evolutionary Swarm Intelligence...
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Parallelization of Swarm Intelligence Algorithms: Literature Review
Swarm Intelligence (SI) algorithms are frequently applied to tackle complex optimization problems. SI is especially used when good solutions are...
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Swarm Intelligence Algorithms and Applications: An Experimental Survey
Swarm Intelligence draws inspiration from the collective intelligent behavior of animals such as birds, fish, and bees. It refers to the collective...
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Synergies Between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview
Natural Language Processing (NLP) constitutes a vital facet of artificial intelligence, focusing on the intricate interplay between human language...
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Computational Swarm Intelligence
Swarm Intelligence (SI) is about a collective behavior of a population of individuals. The main properties of such populations are that all of the...
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Applying Reinforcement Learning for Multiple Functions in Swarm Intelligence
Swarm intelligence (SI) algorithms have become popular due to their self-learning characteristics and adaptability to external changes. They can find...
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Integration of bat algorithm and salp swarm intelligence with stochastic difference variants for global optimization
This paper introduces a novel hybrid optimization algorithm named bat-salp swarm algorithm (BASSA). BASSA integrates the local exploitation...
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Intelligent Management of Preparations for Programming Olympiads on the Basis of Swarm Intelligence Algorithms
AbstractAs a rule, approaches to managing the preparation of learners for programming Olympiads are not intended for intelligent interactive support...
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A novel multi-objective wrapper-based feature selection method using quantum-inspired and swarm intelligence techniques
Feature selection plays a pivotal role in machine learning, serving as a critical preprocessing step. Its impact extends beyond enhancing the...
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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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Cloud-edge load balancing distributed protocol for IoE services using swarm intelligence
Rapid development of the Internet of Everything (IoE) and cloud services offer a vital role in the growth of smart applications. It provides...
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Hybridized Black Widow-Honey Badger Optimization: Swarm Intelligence Strategy for Node Localization Scheme in WSN
The evolutionary growth of Wireless Sensor Networks (WSN) exploits a wide range of applications. To deploy the WSN in a larger area, for sensing the...
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Optimal design of a scaled-up PRO system using swarm intelligence approach
In this study, the pressure-retarded osmosis (PRO) process is optimized using Harris hawks optimization (HHO)-based maximum power point tracking...
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Aspects on Image Edge Detection Based on Sensitive Swarm Intelligence
Nowadays, swarm intelligence shows a high accuracy while solving difficult problems, including image processing problem. Image Edge detection is a...
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Performance optimization of hydroelectric power-plants using computational intelligence techniques
Due to the increasing complexity of industrial systems, transportation systems etc. traditional optimization techniques fail to provide a global...
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A no-code swarm simulation framework for agent-based modeling using nature-inspired algorithms
Swarm robotics describes the coordination among multiple robots assigned to perform a single task collectively and work as a system. The system is...
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A review of artificial fish swarm algorithms: recent advances and applications
The Artificial Fish Swarm Algorithm (AFSA) is inspired by the ecological behaviors of fish schooling in nature, viz., the preying, swarming and...
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Automatic lung cancer detection using hybrid particle snake swarm optimization with optimized mask RCNN
As a result of its aggressive nature and late identification at advanced stages, lung cancer is one of the leading causes of cancer-related deaths....
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Flexible Task Splitting Strategy in Aircraft Maintenance Technician Scheduling Based on Swarm Intelligence
Working overtime is a problem that airlines and maintenance technicians pay great attention to and have not been effectively solved. To alleviate...
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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...
