Search results for "Global optimization"

showing 7 items of 27 documents

A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms

2014

The file attached to this record is the author's final peer reviewed version. The publisher's final version can be found by following the DOI link. The ensemble structure is a computational intelligence supervised strategy consisting of a pool of multiple operators that compete among each other for being selected, and an adaptation mechanism that tends to reward the most successful operators. In this paper we extend the idea of the ensemble to multiple local search logics. In a memetic fashion, the search structure of an ensemble framework cooperatively/competitively optimizes the problem jointly with a pool of diverse local search algorithms. In this way, the algorithm progressively adapts…

Structure (mathematical logic)Theoretical computer sciencebusiness.industryComputer scienceMeta-heuristicsComputational intelligenceAdaptive algorithmsDifferential evolutionLocal search (optimization)OptimisationDifferential evolutionAdaptation (computer science)businessGlobal optimizationAlgorithmMetaheuristicEnsembleMemetic ComputingCurse of dimensionality
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Modeling and Performance Analysis of Energy Efficiency Binary Power Control in MIMO-OFDM Wireless Communication Systems

2011

Published version of an article in the journal:International Journal of Distributed Sensor Networks. Also available from Hindawi Publishing: http://dx.doi.org/10.1155/2011/946258 The energy efficiency optimization of the binary power control scheme for MIMO-OFDM wireless communication systems is formulated, and then a global optimization solution of power allocation is derived. Furthermore, a new energy efficiency binary power control (EEBPC) algorithm is designed to improve the energy efficiency of MIMO-OFDM wireless communication systems. Simulation results show that the EEBPC algorithm has better energy efficiency and spectrum efficiency than the average power control algorithm in MIMO-O…

VDP::Mathematics and natural science: 400::Mathematics: 410::Applied mathematics: 413Scheme (programming language)Theoretical computer scienceArticle SubjectComputer Networks and CommunicationsComputer scienceBinary numberData_CODINGANDINFORMATIONTHEORY02 engineering and technologylcsh:QA75.5-76.950203 mechanical engineeringVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552Computer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringElectronic engineeringGlobal optimizationComputer Science::Information Theorycomputer.programming_languageComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSGeneral Engineering020206 networking & telecommunications020302 automobile design & engineeringSpectral efficiencyMIMO-OFDMPower (physics)lcsh:Electronic computers. Computer sciencecomputerPower controlEfficient energy useInternational Journal of Distributed Sensor Networks
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Memory-saving optimization algorithms for systems with limited hardware

2011

evolutionary algorithmmemetic algorithmdifferentiaalievoluutiodifferential evolutiontietämystekniikkamemeettiset algoritmitgeneettiset algoritmitglobal optimizationevoluutioalgoritmitcomputational ingelligencelaskennallinen älykkyysevoluutiolaskentacompact optimizationtekoälymatemaattinen optimointialgorithmic enhancementskoneoppiminenoptimointioptimointimenetelmätmemetic computingalgoritmitevolutionary computingpopulation-less optimizationsingle-solution optimization
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Parallel global optimization : structuring populations in differential evolution

2010

metaheuristicsoptimointistagnaatioglobal optimizationalgoritmitdifferentiaali evoluutioevoluutiolaskentaDifferential EvolutionEvolutionary computationevolutionary algorithmsmatemaattinen optimointiglobaali optimointitietojenkäsittely
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Exact extension of the DIRECT algorithm to multiple objectives

2019

The direct algorithm has been recognized as an efficient global optimization method which has few requirements of regularity and has proven to be globally convergent in general cases. direct has been an inspiration or has been used as a component for many multiobjective optimization algorithms. We propose an exact and as genuine as possible extension of the direct method for multiple objectives, providing a proof of global convergence (i.e., a guarantee that in an infinite time the algorithm becomes everywhere dense). We test the efficiency of the algorithm on a nonlinear and nonconvex vector function. peerReviewed

ta113Computer scienceDirect methodta111multi-objective optimisationExtension (predicate logic)algorithmsMulti-objective optimizationmonitavoiteoptimointiNonlinear systemComponent (UML)Convergence (routing)algoritmitGlobal optimizationVector-valued functionAlgorithm
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Ensemble strategies in Compact Differential Evolution

2011

Differential Evolution is a population based stochastic algorithm with less number of parameters to tune. However, the performance of DE is sensitive to the mutation and crossover strategies and their associated parameters. To obtain optimal performance, DE requires time consuming trial and error parameter tuning. To overcome the computationally expensive parameter tuning different adaptive/self-adaptive techniques have been proposed. Recently the idea of ensemble strategies in DE has been proposed and favorably compared with some of the state-of-the-art self-adaptive techniques. Compact Differential Evolution (cDE) is modified version of DE algorithm which can be effectively used to solve …

ta113Mathematical optimizationStochastic processComputer scienceDifferential evolutionCrossoverGlobal optimizationEvolutionary computation2011 IEEE Congress of Evolutionary Computation (CEC)
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Can back-projection fully resolve polarity indeterminacy of independent component analysis in study of event-related potential?

2011

a b s t r a c t In the study of event-related potentials (ERPs) using independent component analysis (ICA), it is a traditional way to project the extracted ERP component back to electrodes for correcting its scaling (magnitude and polarity) indeterminacy. However, ICA tends to be locally optimized in practice, and then, the back-projection of a component estimated by the ICA can possibly not fully correct its polarity at every electrode. We demonstrate this phenomenon from the view of the theoretical analysis and numerical simulations and suggest checking and modifying the abnormal polarity of the projected component in the electrode field before further analysis. Moreover, when several co…

ta113Theoretical computer scienceComputer sciencePolarity (physics)Parallel projectionHealth InformaticsIndependent component analysisComponent (UML)Signal ProcessingPoint (geometry)Projection (set theory)Global optimizationScalingAlgorithmBiomedical Signal Processing and Control
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