An introduction to chaos

Jefferies, David; Deane, Jonathan H. B.; Johnstone, G. G.

doi:10.1049/ecej:19890024

Cited by 27 publications

(8 citation statements)

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“…For minimization problem, the fitness value of each individual is calculated by (15) to make sure the fitness value of each individual is positive.…”

Section: B the Implementation Of Chaos In Genetic Algorithmmentioning

confidence: 99%

“…Chaos is defined by Elizabeth Bradley like this: it's a complicated, unpredictable and seemingly random behavior in a deterministic physical system [14]. Researchers about chaos has done a lot of works and approved chaos system's following characteristics [15]: (1) it is sensitive on initial conditions; (2) the trajectory of each initial variable never repeats; (3) they are nonlinear. Thus a chaotic movement can go through every state in a certain search space according to its special regularity, and every state is obtained only once [16].…”

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confidence: 99%

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Integrative optimum design for Nano-satellite's radiator surface and heat insulation layers based on chaos genetic algorithm

Wang

Liu

2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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Passive thermal control system is very important for Nano-satellite's temperate control and its working safety. The design of radiator surface and heat insulation layers' thickness are two important points for the design of nano-satellite's passive thermal control system. A thermal dynamic model for nanosatellite's thermal system was presented by lumped parameter method. And the expressions of the three lumped units' temperatures were calculated. To keep the devices' temperature (T i ), the heat radiator's temperature (T r ) and the heat insulation layers' temperature (T s ) at suitable working levels, Nanosatellite's radiator surface and heat insulation layers' thickness are optimized based on chaos genetic algorithm (CGA). The optimization using simple genetic algorithm (SGA) is also carried out as comparison, and results showed that CGA is more effective in solving this optimization problem.Index Terms-nano-satellite, chaos genetic algorithm, radiator surface, heat insulation layer I.

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“…For minimization problem, the fitness value of each individual is calculated by (15) to make sure the fitness value of each individual is positive.…”

Section: B the Implementation Of Chaos In Genetic Algorithmmentioning

confidence: 99%

mentioning

confidence: 99%

Integrative optimum design for Nano-satellite's radiator surface and heat insulation layers based on chaos genetic algorithm

Wang

Liu

2009

2009 4th IEEE Conference on Industrial Electronics and Applications

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“…This paper proposes Hybridization of chaos optimization algorithm with outlook algorithm (PO) to solve optimal reactive power problem. Chaos is a worldwide occurrence remaining in many systems in all areas of science [21]. It has three key vibrant properties: the inherent stochastic property, ergodicity and regularity [22].…”

Section: Introductionmentioning

confidence: 99%

Coalesced Algorithm for Solving Reactive Power Problem

Lenin

2017

Int. J. Res. Granthaalayah

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This paper combines Parallel Chaos Optimization Algorithm with Outlook Algorithm (PO) to solve optimal reactive power problem. The algorithm is organized in dual phases. The first phase uses parallel chaos optimization grounded on tent map for global exploration, while outlook algorithm is involved in the second phase for local exploration. The projected PO algorithm has been tested in standard IEEE 57,118 bus test systems and simulation results show clearly the improved performance of the proposed PO algorithm in declining the real power loss when compared to other reported standard algorithms.

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“…Chaos, apparently disordered behavior that is nonetheless deterministic, is a universal phenomenon that occurs in many systems in all areas of science [8]. The chaos optimization algorithm (COA) is based on ergodicity, stochastic properties and regularity of the chaos [9].…”

Section: Introductionmentioning

confidence: 99%