Results 51 to 60 of about 10,790,873 (288)

Application of grey correlation-based EDAS method for parametric optimization of non-traditional machining processes

open access: yesScientia Iranica. International Journal of Science and Technology, 2020
Higher dimensional accuracy along with better surface finish of various advanced engineering materials has turned out to be the prime desideratum for the present day manufacturing industries.
P. Das, S. Chakraborty
semanticscholar   +1 more source

Edge Detection by Adaptive Splitting II. The Three-Dimensional Case [PDF]

open access: yes, 2012
In Llanas and Lantarón, J. Sci. Comput. 46, 485–518 (2011) we proposed an algorithm (EDAS-d) to approximate the jump discontinuity set of functions defined on subsets of ℝ d .
A. Bliss   +41 more
core   +2 more sources

Improved Runtime Bounds for the Univariate Marginal Distribution Algorithm via Anti-Concentration [PDF]

open access: yes, 2017
Unlike traditional evolutionary algorithms which produce offspring via genetic operators, Estimation of Distribution Algorithms (EDAs) sample solutions from probabilistic models which are learned from selected individuals.
Lehre, Per Kristian   +1 more
core   +2 more sources

Techno–Econo–Enviro Energy Analysis, Ranking and Optimization of Various Building-Integrated Photovoltaic (BIPV) Types in Different Climatic Regions of Iran

open access: yesEnergies, 2023
Iran is one of the most energy-consuming countries, especially in the construction sector, and more than 40% of its energy consumption is in the construction sector. Therefore, considering the very high potential of Iran in the field of solar energy, the
Mehdi Jahangiri   +5 more
doaj   +1 more source

A Probabilistic Linear Genetic Programming with Stochastic Context-Free Grammar for solving Symbolic Regression problems

open access: yes, 2017
Traditional Linear Genetic Programming (LGP) algorithms are based only on the selection mechanism to guide the search. Genetic operators combine or mutate random portions of the individuals, without knowing if the result will lead to a fitter individual.
Bosman P. A. N.   +5 more
core   +1 more source

Understanding the Stochastic Nature of Process Parameter Development of Blown Powder Laser Beam Directed Energy Deposition Additive Manufacturing of Pure Molybdenum

open access: yesAdvanced Engineering Materials, EarlyView.
Identified through the use of statistical design of experiments and metallographic investigation, this study exposes the stochastic origins of intergranular cracks in blown powder laser beam directed energy deposition additive manufacturing of pure molybdenum. It further demonstrates a successful crack mitigation approach with direct correlation to the
Nathaniel J. Lies   +2 more
wiley   +1 more source

CIXL2: A Crossover Operator for Evolutionary Algorithms Based on Population Features

open access: yes, 2011
In this paper we propose a crossover operator for evolutionary algorithms with real values that is based on the statistical theory of population distributions.
García-Pedrajas, N.   +2 more
core   +1 more source

Tailoring palladium nanocontacts by electromigration [PDF]

open access: yes, 2013
Electromigration is employed in nanoelectronics for transforming narrow metallic wires into electrodes separated by a few nanometers gap. In this work, we fabricate either nanoconstrictions or nanogap electrodes by performing electromigration in ...
Arzubiaga, Libe   +4 more
core   +1 more source

Breathable Graphene Oxide‐Polymer Composite Membranes With Two‐Step Barrier Mechanism Against Nerve Agents

open access: yesAdvanced Functional Materials, EarlyView.
ABSTRACT Breathable membranes that reject chemical warfare agents (CWAs) are required for next‐generation protective apparel. A dual‐function graphene oxide (GO)‐polyamine architecture is introduced that addresses the long‐standing tradeoff between vapor transmission and CWA selectivity.
Hyungjun Kim   +6 more
wiley   +1 more source

A Study on Multimemetic Estimation of Distribution Algorithms [PDF]

open access: yes, 2014
PPSN 2014, LNCS 8672, pp. 322-331Multimemetic algorithms (MMAs) are memetic algorithms in which memes (interpreted as non-genetic expressions of problem solving strategies) are explicitly represented and evolved alongside genotypes.
C. González   +13 more
core   +1 more source

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