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Improvisation of particle swarm optimization algorithm
2014 International Conference on Signal Processing and Integrated Networks (SPIN), 2014The improvised Particle Swarm Optimization (PSO) Algorithm offers better search efficiency than conventional PSO algorithm. It provides an efficient technique to obtain the best optimized result in the search space. This algorithm ensures a faster rate of convergence to the desired solution whose precision can be preset by the user.
Baskaran Anand +6 more
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Development of particle swarm optimization algorithm
2011 6th International Conference on Computer Science & Education (ICCSE), 2011Particle swarm optimization (PSO) is a new stochastic optimization technique based on swarm intelligence. In this paper, we introduce the basic principles of PSO firstly. Then, the research progress on PSO algorithm is summarized in several fields, such as parameter selection and design, population topology, hybrid PSO algorithm etc.
Yu Chen, Fan Yang, Quan Zou, Chen Lin
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Gaussian swarm: a novel particle swarm optimization algorithm
IEEE Conference on Cybernetics and Intelligent Systems, 2004., 2005In this paper, a novel particle swarm optimization algorithm based on the Gaussian probability distribution is proposed. The standard particle swarm optimization (PSO) algorithm has some parameters that need to be specified before using the algorithm, e.g., the accelerating constants c/sub 1/ and c/sub 2/, the inertia weight w, the maximum velocity V ...
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An improved particle swarm optimization algorithm
2011 International Conference on Electronics, Communications and Control (ICECC), 2011Because the variable inertia weight particle swarm optimization algorithm is easy to fall into the local optimum, this paper introduces the improved simulated annealing operator, chaotic disturbance operator and Cauchy mutation operator to the former and proposes an improved particle swarm optimization algorithm; Then, two typical Benchmark functions ...
Yi Jin, Jiwu Wang, Lenan Wu
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General particle swarm optimization algorithm
2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), 2023Wen Chuanjun, Wang Ling, Ren Xuejing
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Dream Effected Particle Swarm Optimization Algorithm
Journal of Information and Computational Science, 2014Particle swarm optimization is a stochastic optimization technique based on population. It was gaining popularity during the past decade for the rapid speed of convergence, therefore the researches to improve PSO is increasing. In this paper, we propose a two-phase PSO including day and night phase. In the night phase the particles contort the position
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An Emotional Particle Swarm Optimization Algorithm
2005This paper presents a modification of the particle swarm optimization algorithm (PSO) intended to introduce some psychology factor of emotion into the algorithm. In the new algorithm, which is based on a simple perception and emotion psychology model, each particle has its own feeling and reaction to the current position, and it also has specified ...
Yang Ge, Zhang Rubo
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Clinical management of metastatic colorectal cancer in the era of precision medicine
Ca-A Cancer Journal for Clinicians, 2022, Davide Ciardiello, Giulia Martini
exaly