Results 11 to 20 of about 81,531 (237)
Modified Particle Swarm Optimization using Nonlinear Decreased Inertia Weight
Emitter: International Journal of Engineering Technology, 2016 Particle Swarm Optimization (PSO) has demonstrated great performance in various optimization problems. However, PSO has weaknesses, namely premature convergence and easy to get stuck or fall into local optima for complex multimodal problems.
Alrijadjis . +3 more
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A New Kind of Pso: Predator Particle Swarm Optimization [PDF]
International Journal on Smart Sensing and Intelligent Systems, 2012 Abstract Today, swarm intelligence is widely used in optimization problems. PSO is one the best swarm intelligence methods. In the method, each particle moves toward the direction in which the best individual and group experience has happened. The most important disadvantage of this method is that it falls in local optima.
Mehdi Neshat +3 more
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SDPSO: Spark Distributed PSO-based approach for feature selection and cancer disease prognosis
Journal of Big Data, 2021 The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is needed.
Khawla Tadist +4 more
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Sensors, 2023 This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity.
Zhongyu Shang +3 more
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Particle Swarm Optimization with Independent Adaptive Parameter Adjustment
Jisuanji kexue yu tansuo, 2020 Aiming at the problems that traditional particle swarm optimization (PSO) algorithm is prone to fall into local optimum and depends on the value of parameters when solving complex optimization problems, an independent adaptive parameter adjustment ...
ZHANG Qiwen, WEI Yachen
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Improved dynamical particle swarm optimization method for structural dynamics [PDF]
, 2019 A methodology to the multiobjective structural design of buildings based on an improved particle swarm optimization algorithm is presented, which has proved to be very efficient and robust in nonlinear problems and when the optimization objectives are in
Annicchiarico, W. C. +1 more
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An improved particle swarm optimization algorithm with adaptive weighted delay velocity
Systems Science & Control Engineering, 2021 An improved particle swarm optimization (PSO) with adaptive weighted delay velocity (PSO-AWDV) is proposed in this paper. A new scheme blending weighted delay velocity is firstly presented for a new PSO with weighted delay velocity (PSO-WDV) algorithm ...
Lin Xu, Baoye Song, Maoyong Cao
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Building nearest prototype classifiers using a Michigan approach PSO [PDF]
, 2007 IEEE Swarm Intelligence Symposium. Honolulu, HI, 1-5 april 2007This paper presents an application of particle swarm optimization (PSO) to continuous classification problems, using a Michigan approach. In this work, PSO is used to process training data to
Cervantes, Alejandro +2 more
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Adaptive particle swarm optimization [PDF]
, 2009 An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Henry Shu-hung Chung +6 more
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The Design and Application of Quantum-Behaved Particle Swarm Optimization Based on Levy Flight
Chemical Engineering Transactions, 2016 Both Particle Swarm Optimization (PSO) and its improved version of Quantum-behaved Particle Swarm Optimization (QPSO) are the novel swarm intelligence optimization algorithms.
Y.Y. Liu
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