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A hybrid PSO-BP algorithm and its application
2010 Sixth International Conference on Natural Computation, 2010An approach that neural network optimized with PSO algorithm is proposed in the paper. Unlike conventional training method with gradient descent method only, this paper introduces a hybrid training algorithm by combining the PSO and BP algorithm. The PSO is used to optimize the initial parameters of the BP neural network, including the weights and ...
Jie Hu, Xiangjin Zeng
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A PSO Algorithm Based on Orthogonal Test Design
2009 Fifth International Conference on Natural Computation, 2009We present a particle swarm optimization algorithm OT-PSO using orthogonal test technique. Based on the classical PSO, OT-PSO searches for local optimum in the neighbor area of the global best solution by using the method of orthogonal test design.
Shu Wang, Ling Chen
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A multi-objective endocrine PSO algorithm and application
Applied Soft Computing, 2011A novel multi-objective endocrine particle swarm optimization algorithm (MOEPSO) based on the regulation of endocrine system is proposed. In the method, the releasing hormone (RH) of endocrine system is encoded as particle swarm and supervised by the corresponding stimulating hormone (SH).
Debao Chen +2 more
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Improving Representation in Benchmarking of Binary PSO Algorithms
2018Binary PSO algorithms are extensions of the PSO algorithm that enjoy some of the social intelligence properties of the original algorithm. The intensive local search ability is one of the most important characteristics of PSO. In this paper, we argue that, when evaluating binary PSO algorithms against common real-value benchmark problems—a common ...
Shinichi Yamada, Kourosh Neshatian
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Selective Ensemble Based on Probability PSO Algorithm
2017In order to overcome the disadvantages of high complexity, low speed and accuracy of selective ensemble algorithm based on genetic algorithm. We proposed a new selective ensemble algorithm based on probability PSO algorithm. First, in order to tackle the converging slowly and easily to partial minimum problems of simplified PSO, we introduce the cloud ...
Wen Quan +3 more
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Modified PSO Algorithm for Deadlock Control in FMS
2005Both a concept of the optimal set of elementary siphons and a deadlock prevention policy based on integer programming are presented to solve deadlock problems arising in flexible manufacturing systems(FMS). Furthermore, an algorithm based on modified particle swarm optimization(PSO) is illustrated to show its efficiency to deal with such problems ...
Hesuan Hu, ZhiWu Li 0001, Weidong Wang
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A Novel Watermarking Scheme Based on PSO Algorithm
2007In this paper, a novel blind watermark extracting scheme using the Discrete Wavelet Transform (DWT) and Particle Swarm Optimization (PSO) algorithm is introduced. The watermark is embedded to the discrete multiwavelet transform (DMT) coefficients larger than some threshold values, and watermark extraction is efficiently performed via particle swarm ...
Ziqiang Wang, Xia Sun, Dexian Zhang
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Comparison of PSO with the Hybrid Algorithms MOORA-PSO and DA-PSO for Decision Making
Advances in Modelling and Analysis B, 2023Ramírez-Ochoa Dynhora-Danheyda +2 more
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A Hybrid CS/PSO Algorithm for Global Optimization
2012This paper presents the hybrid approach of two nature inspired metaheuristic algorithms; Cuckoo Search (CS) and Particle Swarm Optimization (PSO) for solving optimization problems. Cuckoo birds lay their own eggs to other host birds. If the host birds discover the alien birds, they will leave the nest or throw the egg away.
Amirhossein Ghodrati, Shahriar Lotfi
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Local and Global Search Based PSO Algorithm
2013In this paper, a new algorithm for particle swarm optimisation (PSO) is proposed. In this algorithm, the particles are divided into two groups. The two groups have different focuses when all the particles are searching the problem space. The first group of particles will search the area around the best experience of their neighbours.
Yanxia Sun 0001 +2 more
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