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- W2117595234 abstract "Many scientific, engineering and economic problems involve the optimisation of a set of parameters. These problems include examples like minimising the losses in a power grid by finding the optimal configuration of the components, or training a neural network to recognise images of people's faces. Numerous optimisation algorithms have been proposed to solve these problems, with varying degrees of success. The Particle Swarm Optimiser (PSO) is a relatively new technique that has been empirically shown to perform well on many of these optimisation problems. This thesis presents a theoretical model that can be used to describe the long-term behaviour of the algorithm. An enhanced version of the Particle Swarm Optimiser is constructed and shown to have guaranteed convergence on local minima. This algorithm is extended further, resulting in an algorithm with guaranteed convergence on global minima. A model for constructing cooperative PSO algorithms is developed, resulting in the introduction of two new PSO-based algorithms. Empirical results are presented to support the theoretical properties predicted by the various models, using synthetic benchmark functions to investigate specific properties. The various PSO-based algorithms are then applied to the task of training neural networks, corroborating the results obtained on the synthetic benchmark functions." @default.
- W2117595234 created "2016-06-24" @default.
- W2117595234 creator A5026056849 @default.
- W2117595234 creator A5047714792 @default.
- W2117595234 date "2002-01-01" @default.
- W2117595234 modified "2023-10-12" @default.
- W2117595234 title "An analysis of particle swarm optimizers" @default.
- W2117595234 cites W1291450 @default.
- W2117595234 cites W129833132 @default.
- W2117595234 cites W1485560021 @default.
- W2117595234 cites W1492417045 @default.
- W2117595234 cites W1493134027 @default.
- W2117595234 cites W1495143124 @default.
- W2117595234 cites W1497256448 @default.
- W2117595234 cites W1503705371 @default.
- W2117595234 cites W1506413385 @default.
- W2117595234 cites W1514875444 @default.
- W2117595234 cites W1516301787 @default.
- W2117595234 cites W1537335979 @default.
- W2117595234 cites W1540072641 @default.
- W2117595234 cites W1543298386 @default.
- W2117595234 cites W1554663460 @default.
- W2117595234 cites W1555689267 @default.
- W2117595234 cites W1558110925 @default.
- W2117595234 cites W1558876224 @default.
- W2117595234 cites W1560921017 @default.
- W2117595234 cites W1562968555 @default.
- W2117595234 cites W1565902586 @default.
- W2117595234 cites W156624906 @default.
- W2117595234 cites W1566458452 @default.
- W2117595234 cites W1573579329 @default.
- W2117595234 cites W1576818901 @default.
- W2117595234 cites W1577668191 @default.
- W2117595234 cites W1580876177 @default.
- W2117595234 cites W1589975099 @default.
- W2117595234 cites W1593549813 @default.
- W2117595234 cites W1628481780 @default.
- W2117595234 cites W1639032689 @default.
- W2117595234 cites W1805994660 @default.
- W2117595234 cites W1820051232 @default.
- W2117595234 cites W1835176610 @default.
- W2117595234 cites W1855408646 @default.
- W2117595234 cites W1875348914 @default.
- W2117595234 cites W1894638867 @default.
- W2117595234 cites W1900101064 @default.
- W2117595234 cites W1907706552 @default.
- W2117595234 cites W1912639206 @default.
- W2117595234 cites W1925618211 @default.
- W2117595234 cites W1959606346 @default.
- W2117595234 cites W1966612784 @default.
- W2117595234 cites W1986051627 @default.
- W2117595234 cites W1986282389 @default.
- W2117595234 cites W2001619934 @default.
- W2117595234 cites W2002592134 @default.
- W2117595234 cites W2006903949 @default.
- W2117595234 cites W2007993714 @default.
- W2117595234 cites W2024060531 @default.
- W2117595234 cites W2033137841 @default.
- W2117595234 cites W2033245860 @default.
- W2117595234 cites W2048060899 @default.
- W2117595234 cites W2062663664 @default.
- W2117595234 cites W2065154909 @default.
- W2117595234 cites W2065748487 @default.
- W2117595234 cites W2068484625 @default.
- W2117595234 cites W2081070226 @default.
- W2117595234 cites W2081625465 @default.
- W2117595234 cites W2084812512 @default.
- W2117595234 cites W2095595785 @default.
- W2117595234 cites W2096547661 @default.
- W2117595234 cites W2096590200 @default.
- W2117595234 cites W2102248717 @default.
- W2117595234 cites W2102954583 @default.
- W2117595234 cites W2105102593 @default.
- W2117595234 cites W2106625051 @default.
- W2117595234 cites W2106721790 @default.
- W2117595234 cites W2109364787 @default.
- W2117595234 cites W2109779438 @default.
- W2117595234 cites W2112090702 @default.
- W2117595234 cites W2114367267 @default.
- W2117595234 cites W2114766824 @default.
- W2117595234 cites W2118840131 @default.
- W2117595234 cites W2123859926 @default.
- W2117595234 cites W2125213524 @default.
- W2117595234 cites W2126857035 @default.
- W2117595234 cites W2126926002 @default.
- W2117595234 cites W2131579134 @default.
- W2117595234 cites W2135232426 @default.
- W2117595234 cites W2147800946 @default.
- W2117595234 cites W2148690473 @default.
- W2117595234 cites W2150312211 @default.
- W2117595234 cites W2151554678 @default.
- W2117595234 cites W2152150600 @default.
- W2117595234 cites W2152195021 @default.
- W2117595234 cites W2156003784 @default.
- W2117595234 cites W2156698647 @default.
- W2117595234 cites W2157152757 @default.
- W2117595234 cites W2161364298 @default.
- W2117595234 cites W2163655817 @default.
- W2117595234 cites W2165299997 @default.
- W2117595234 cites W2165713450 @default.