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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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Conceptual and numerical comparisons of swarm intelligence optimization algorithms
Soft Computing, 2015Swarm intelligence (SI) optimization algorithms are fast and robust global optimization methods, and have attracted significant attention due to their ability to solve complex optimization problems. The underlying idea behind all SI algorithms is similar, and various SI algorithms differ only in their details.
Haiping Ma +3 more
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Comparison of Swarm Intelligence Algorithms for Optimization Problems
2021Nowadays, optimization problems have been one of the most challenges for solving real-work problems. Because of the importance of practical problems in other fields, more and more intelligent search algorithms have been proposed. Each algorithm has both advantages and disadvantages.
Hoang-Le Minh +2 more
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Swarm Intelligence Optimization Algorithm Based on Orthogonal Optimization
2010 Second International Conference on Computer Modeling and Simulation, 2010The shortcomings of existing intelligent optimization algorithms are easy to produce premature convergence, easy to fall into local optimal equilibrium states, and poor efficiency at evolutionary late stage. In order to overcome the above shortcomings, a variety of new strategies and approaches were put forward by researchers in various countries ...
Yongxian Li, Jiazhong Li
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Swarm intelligent optimization algorithm for text clustering
2010 3rd International Conference on Computer Science and Information Technology, 2010This paper presents the text clustering algorithm of the cluster intelligent optimization that uses cluster intelligent optimization algorithms to find the initial focal point to resolve the input sequences of fuzzy clustering and the initial point of sensitive issues; and use the improved fuzzy clustering algorithm to eliminate the sample text is not ...
Hong Peng, Cong Wang, Xin Guan
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An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022In general, flexible ligand docking is used for docking simulations under the premise that the position of the binding site is already known, and meanwhile it can also be used without prior knowledge of the binding site. However, most of the optimization search algorithms used in popular docking software are far from being ideal in the first case, and ...
Chao Li 0069 +4 more
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Journal of Field Robotics
ABSTRACTSwarm technology is evolving quickly in the new era in the domains of autonomous underwater vehicles (AUVs), unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs). Swarm technology takes its cues from nature, particularly from the behaviors of ants, bees, schools of fish, and birds.
Krishna Vamshi Ganduri +1 more
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ABSTRACTSwarm technology is evolving quickly in the new era in the domains of autonomous underwater vehicles (AUVs), unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs). Swarm technology takes its cues from nature, particularly from the behaviors of ants, bees, schools of fish, and birds.
Krishna Vamshi Ganduri +1 more
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Swarm Intelligence Algorithm Based on Orthogonal Optimization
2010 Third International Joint Conference on Computational Science and Optimization, 2010In order to overcome premature convergence and low performance of existing intelligent optimization algorithms, a population-based intelligent optimization with algorithm of orthogonal optimization is put forward for continue and discrete function in this paper.
Yongxian Li, Jiazhong Li
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Drilling Path Optimization Based on Swarm Intelligent Algorithm
2006 IEEE International Conference on Robotics and Biomimetics, 2006Drilling path optimization is the key problem in holes machining. This paper presents a swarm intelligent approach based on the particle swarm optimization (PSO) algorithm for solving the drilling path optimization problem. Because the standard PSO algorithm is not guaranteed to be global convergence or local convergence, the algorithm is improved by ...
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Adaptive system of swarm intelligent with Genetic Algorithm for global optimization
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2012A new strategy of Adaptive Plan System with Genetic Algorithm (APGA) is proposed to reduce a large amount of calculation cost and to improve stability in convergence to an optimal solution for multi-peak optimization problems with multi-dimensions.
Hieu Pham, Hiroshi Hasegawa
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