Results 121 to 130 of about 190,584 (312)
Explicit memory schemes for evolutionary algorithms in dynamic environments
Copyright @ 2007 Springer-VerlagProblem optimization in dynamic environments has atrracted a growing interest from the evolutionary computation community in reccent years due to its importance in real world optimization problems.
Yang, S +2 more
core +1 more source
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source
Evolutionary algorithms in artificial intelligence: a comparative study through applications [PDF]
For many years research in artificial intelligence followed a symbolic paradigm which required a level of knowledge described in terms of rules. More recently subsymbolic approaches have been adopted as a suitable means for studying many problems.
Nettleton, David John, Nettleton, D.J
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A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi +3 more
wiley +1 more source
International audienceA parallel asynchronous evolutionary algorithm controlled by strongly interacting demes for single-- and multi--objective optimization problems is proposed. It is suitable for, even non--homogeneous, multiprocessor systems, ensuring
Giannakoglou, KC +3 more
core +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Grain boundary triple junctions are an essential ingredient of the microstructure of polycrystalline materials. In this study, a triple junction is observed using atomic‐resolution scanning transmission electron microscopy and characterized. Computer simulations reveal that the junction has a dislocation character that is determined by the joining ...
Tobias Brink +4 more
wiley +1 more source
Dual population-based incremental learning for problem optimization in dynamic environments [PDF]
Copyright @ 2003 Asia Pacific Symposium on Intelligent and Evolutionary SystemsIn recent years there is a growing interest in the research of evolutionary algorithms for dynamic optimization problems since real world problems are usually dynamic, which ...
Yang, S +5 more
core
This work studies the anisotropic behavior of circular notched tensile specimens of Ni‐base superalloy single crystals during high‐temperature tensile creep along [001], [110], and [111]. Correlative scale‐bridging imaging of specimens reveals early rupture along [110] because 1) plastic deformation proceeds faster at notch center; 2) more (brittle ...
Leonardo Agudo Jácome +6 more
wiley +1 more source
DC operating point analysis using evolutionary computing
This paper discusses and evaluates a new approach to operating point analysis based on evolutionary computing (EC). EC can find multiple solutions to a problem by using a parallel search through a population.
Crutchley, DA, Zwolinski, M
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