Results 91 to 100 of about 25,002 (290)
IEEE Access, 2019 Estimation of Distribution Algorithms (EDAs) maintain and iteratively update a probabilistic model to tackle optimization problems. The Boltzmann Probability Distribution Function (Boltzmann-PDF) provides advantages when used in energy based EDAs ...
Juan De Anda-Suarez +6 more
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IEEE Access, 2018 In this paper, we study the performance of spatial modulation (SM) employing Euclidean distance-based antenna selection (EDAS) operating in a realistic error-infested feedback channel, which has hitherto only been studied under ideal feedback channel ...
Rakshith Rajashekar +2 more
doaj +1 more source
Evaluation of Open-Source EDA Tool “EDA Playground”
, 2023 With the advancement of Information Technology, the design, verification, and manufacturing of Integrated circuits have been challenging and time consuming. Unlike the software domain, Electronic Design Automation (EDA) tools are mostly commercially available, and access is limited to the students.
openaire +1 more source
HeliyonWith the construction and development of the “the Belt and Road”, the international community has an increasing demand for high-quality technical and skilled talents who both understand Chinese and have an international perspective.
Fangfang Xia
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Supplier selection under circular economy: An integrated entropy-EDAS method [PDF]
Yugoslav Journal of Operations ResearchThe concept of circular economy (CE) is gaining attention from businesses and government agencies as a crucial approach to combat climate change. With increasing consumer concern for environmental and social issues, there is a growing emphasis on ...
Gupta Srikant +4 more
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Sub-structural Niching in Estimation of Distribution Algorithms
, 2005 We propose a sub-structural niching method that fully exploits the problem decomposition capability of linkage-learning methods such as the estimation of distribution algorithms and concentrate on maintaining diversity at the sub-structural level.
Abbass, H. A. +3 more
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Generalized decomposition and cross entropy methods for many-objective optimization [PDF]
, 2012 Decomposition-based algorithms for multi-objective optimization problems have increased in popularity in the past decade. Although their convergence to the Pareto optimal front (PF) is in several instances superior to that of Pareto-based algorithms ...
Fleming, P.J. +2 more
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SystemsIntuitionistic linguistic numbers (ILNs) describe expert evaluation information by representing semantic assessment values and reflecting the confidence level and hesitation of decision-makers.
Chunyu Zhao, Haiyang Hou, Hui Yan
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Windows Malware Detection Under the Machine Learning Models and Neutrosophic Numbers [PDF]
Neutrosophic Sets and SystemsSignificant cybersecurity risks are posed by malware assaults on Windows computers, which call for efficient detection and prevention systems.
Alber S. Aziz +5 more
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On the evaluation of information exchange strategies in dEDAs [PDF]
, 2010 One of the most promising areas in which probabilistic graphical models have shown an incipient activity is the field of heuristic optimization and, in particular, in the Estimation of Distribution Algorithms (EDAs). EDAs constitute a well-known family of
LaTorre de la Fuente, Antonio +3 more
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