Results 61 to 70 of about 42,011 (261)
Image Resteoration by BP Neural Based on PSO [PDF]
Xibei Gongye Daxue Xuebao, 2018 Based on PSO-BP algorithm combining particle swarm algorithm with BP neural network algorithm, this paper applies this algorithm to image restoration based on optimization.
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Business Strategy and the Environment, EarlyView.ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
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Chaos PSO algorithm driven alternately by two different chaotic maps - an initial study
, 2013 In this paper, a new approach for chaos driven PSO algorithm is proposed. Two different chaotic maps are alternately used as pseudorandom number generators and switched over during the run of chaos driven PSO algorithm.
Michal Pluhacek +7 more
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Double-Group Particle Swarm Optimization and Its Application in Remote Sensing Image Segmentation
Sensors, 2018 Particle Swarm Optimization (PSO) is a well-known meta-heuristic. It has been widely used in both research and engineering fields. However, the original PSO generally suffers from premature convergence, especially in multimodal problems.
Liang Shen, Xiaotao Huang, Chongyi Fan
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Business Strategy and the Environment, EarlyView.ABSTRACT This research develops an integrated mixed‐integer linear programming (MILP) model for closed‐loop supply chain network design that optimises competing economic and environmental objectives including profit maximisation, supplier quality improvement and CO2 emission reduction.
Reza Eslamipoor
wiley +1 more source
Fault Diagnosis of Analog Circuits Based on IH-PSO Optimized Support Vector Machine
IEEE Access, 2019 Because of its excellent small sample learning abilities and simple network structure, support vector machine (SVM) is widely applied in various pattern recognition fields, e.g., face recognition, scene classification, fault diagnosis, etc.
Xianfeng Yuan +5 more
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A new localization method based on improved particle swarm optimization for wireless sensor networks
IET Software, 2022 Wireless sensor network (WSN) node localisation technology based on received signal strength indication (RSSI) is widely used as it does not need additional hardware devices. The ranging accuracy of RSSI is poor, and the particle swarm optimisation (PSO)
Qiaohe Yang
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Carbon Energy, EarlyView.ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal +6 more
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An improved ?-PSO algorithm with mutation [PDF]
Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007), 2007 In our previous work, a new PSO algorithm called θPSO based on phase angle was put forward, which has better optimization performance than standard PSO algorithm when dealing with some simple benchmark functions. But this algorithm may easily stick in the local minima when handling some complex or multimode functions.
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An Enhanced Partial Search to Particle Swarm Optimization for Unconstrained Optimization
Mathematics, 2019 Particle swarm optimization (PSO) is a population-based optimization technique that has been applied extensively to a wide range of engineering problems. This paper proposes a variation of the original PSO algorithm for unconstrained optimization, dubbed
Shu-Kai S. Fan, Chih-Hung Jen
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