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Swarm Intelligence Algorithms for Portfolio Optimization
2010Swarm Intelligence (SI) is a relatively new technology that takes its inspiration from the behavior of social insects and flocking animals In this paper, we focus on two main SI algorithms: Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) An extension of ACO algorithm and a PSO algorithm has been implemented to solve the portfolio ...
Hanhong Zhu, Yun Chen, Kesheng Wang
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Non-swarm intelligence algorithms: a case study
Computing, 2021The case study of plant intelligence inspired novel non-swarm intelligence (NSI) algorithms, namely Venus Flytrap Optimization and Bladder-Worts Suction, concentrated in this paper. These algorithms devised on the prey-hunting mechanisms of the Venus Flytrap (Dionaea Muscipula) and BladderWorts (Utricularia) plants, respectively.
R. Gowri, R. Rathipriya 0001
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Developmental Swarm Intelligence
International Journal of Swarm Intelligence Research, 2014In this paper, the necessity of having developmental learning embedded in a swarm intelligence algorithm is confirmed by briefly considering brain evolution, brain development, brainstorming process, etc. Several swarm intelligence algorithms are looked at from developmental learning perspective.
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In-Depth Insights into Swarm Intelligence Algorithms Performance
2021Solving hard optimization problems is one of the most important research topics due to the countless applications in different areas. Since solving such problems is of great importance, numerous metaheuristics were developed, many of which belong to the group of swarm intelligence optimization algorithms.
Eva Tuba, Peter Korosec, Tome Eftimov
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SWARM INTELLIGENCE: PSO ALGORITHM
2023A natural metaphor is a key to solve any complex optimization problem in scientific community. [1]The classical optimization problem is unable to solve the highly non linear problem because of non-adaptability. A flexible and adaptable algorithm is needed to model the real-time problem easily. More nature inspired algorithms were emerged.
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An intelligent swarm clustering algorithm using swarm similarity measure
2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016Using big data analysis technologies to cluster user data and mine the potential of stock users is of great significance to telecom operators. In this paper, we present an intelligent swarm clustering algorithm using swarm similarity measure for this purpose.
Baisong Ren +5 more
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A framework for the analysis and synthesis of Swarm Intelligence algorithms
Journal of Experimental & Theoretical Artificial Intelligence, 2020Over the last decades, the number of Swarm Intelligence algorithms proposed in the literature has increased considerably.
Dávila Patrícia Ferreira Cruz +2 more
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A DSL for Swarm Intelligence Algorithms.
We propose a domain-specific language to simplify the expression of Swarm Intelligence algorithms. These algorithms are typically introduced through metaphors, requiring practitioners to manually translate them into low-level implementations.This process can obscure intent and hinder reproducibility.Martins, Kevin, Mendes, Rui
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A critical discussion into the core of swarm intelligence algorithms
Evolutionary Intelligence, 2019The literature is now filled with swarm intelligence algorithms developed by taking inspiration from a number of insects and other animals and phenomena, such as ants, termites, bees, fishes and cockroaches, to name just a few. Many, if not most, of these bioinspirations carry with them some common issues and features which happen at the individual ...
Dávila Patrícia Ferreira Cruz +2 more
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A Swarm Intelligence Algorithm Based on Boundary Mutation
2010 International Conference on Computational Intelligence and Security, 2010In this paper, a new swarm intelligence algorithm called SIA for global optimization is proposed. Each individual in population is firstly projected onto the boundary of the search space in order to extend the region of the global search. Secondly, a probability of generating new individual is computed based on the function values of the individual ...
Hongwei Lin, Yuping Wang 0003, Cai Dai
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