Results 61 to 70 of about 81,531 (237)
Perception of Particle Swarm Optimization (PSO) Algorithm in Insurance Strategies
SSRN Electronic Journal, 2018 In the worldwide time, insurance rapidly a lot of tremendous development in our society. Due to the increased stress in day-to-day life, the growth of demand for insurance increased. Data mining helps insurance firms to discover useful patterns from the customer database direction of determining best strategies. Particle swarm optimization (PSO) is one
Hossein, Niavand, Mahesh, R.
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Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Multi-objective discrete particle swarm optimisation algorithm for integrated assembly sequence planning and assembly line balancing [PDF]
, 2016 In assembly optimisation, assembly sequence planning and assembly line balancing have been extensively studied because both activities are directly linked with assembly efficiency that influences the final assembly costs.
Ab Rashid, Mohd Fadzil Faisae +2 more
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Gravity inversion of a fault by Particle swarm optimization (PSO) [PDF]
SpringerPlus, 2013 Particle swarm optimization is a heuristic global optimization method and also an optimization algorithm, which is based on swarm intelligence. It comes from the research on the bird and fish flock movement behavior. In this paper we introduce and use this method in gravity inverse problem. We discuss the solution for the inverse problem of determining
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Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This article investigates the Soret–Dufour cross‐diffusion effects on radiation‐absorptive unsteady free‐convection of magnetized nanofluids (TiO2–water$$ {\mathrm{TiO}}_2\hbox{--} \mathrm{water} $$ and Cu–water$$ \mathrm{Cu}\hbox{--} \mathrm{water} $$) flow over a vertical moving permeable plate.
B. Prabhakar Reddy +2 more
wiley +1 more source
, 2014 Accurate forecasting is important for cost-effective and efficient monitoring and control of the renewable energy based power generation. Wind based power is one of the most difficult energy to predict accurately, due to the widely varying and ...
Anwar, Adnan, Mahmood, Abdun Naser
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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
wiley +1 more source
Feature selection algorithm based on improved particle swarm joint taboo search
Tongxin xuebao, 2018 To solve the problem of high data feature dimensionality in intrusion detection, a feature selection algorithm based on improved particle swarm optimization taboo search (IPSO-TS) was proposed. The genetic algorithm was used to improve the particle swarm
Zhen ZHANG +5 more
doaj +2 more sources
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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Chemistry – A European Journal, EarlyView.Herein, we report the first example of the formation of a close‐packed, regular 2D monolayer of a fivefold symmetric cyanostar macrocycle on an Au(111) surface under ultra‐high vacuum and the structural modification of such self‐assembled architecture upon cobalt atom deposition.
Lenka Černá +11 more
wiley +1 more source