Results 21 to 30 of about 396,315 (265)

Reliability-based global optimization using response surface

open access: yesNihon Kikai Gakkai ronbunshu, 2021
Reliability-based design optimization (RBDO) is one of design optimization techniques considering uncertainty and has gained attention in the engineering design.
Makoto ITO, Satoshi KITAYAMA
doaj   +1 more source

Surrogate Model-Based Parameter Tuning of Simulated Annealing Algorithm for the Shape Optimization of Automotive Rubber Bumpers

open access: yesApplied Sciences, 2022
A design engineer has to deal with increasingly complex design tasks on a daily basis, for which the available design time is shrinking. Market competitiveness can be improved by using optimization if the design process can be automated.
Dávid Huri, Tamás Mankovits
doaj   +1 more source

Optimal planning method of design project based on risk assessment model with task option

open access: yesNihon Kikai Gakkai ronbunshu, 2017
The product design project includes many uncertainties. It causes risk that a project target cannot be accompolished within lead time. In order to flexibly handle the uncertainty and avoid the risk, adaptive planning that can switch easily to another ...
Yutaka NOMAGUCHI   +3 more
doaj   +1 more source

Forging with optimal back-pressure profile using sequential approximate optimization

open access: yesNihon Kikai Gakkai ronbunshu, 2014
This paper proposes a method for determining optimal back-pressure profile in forging using a sequential approximate optimization (SAO). In forging, it is important to minimize an unfilled area for improving the product quality. To achieve this objective,
Masato OKADA   +7 more
doaj   +1 more source

Development of rapid heating cycle molding using heater and process parameters optimization

open access: yesNihon Kikai Gakkai ronbunshu, 2023
Plastic injection molding (PIM) is a manufacturing technology to plastic products, and it is important to determine optimal process parameters for high product quality and high productivity.
Shogo TSURITA   +5 more
doaj   +1 more source

Establishing an Apheresis Medicine Program in a Resource‐Constrained Setting: A 5‐Year Experience From Lagos, Nigeria

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola   +4 more
wiley   +1 more source

Engineering optimization by constrained differential evolution with nearest neighbor comparison

open access: yesVietnam Journal of Mechanics, 2016
It has been proposed to utilize nearest neighbor  comparison to reduce the number of function evaluations in unconstrained  optimization. The nearest neighbor comparison omits the function evaluation  of a point when the comparison can be judged by its ...
Pham Hoang Anh
doaj   +1 more source

Improved Environmental Stimulus and Biological Competition Tactics Interactive Artificial Ecological Optimization Algorithm for Clustering

open access: yesBiomimetics, 2023
An interactive artificial ecological optimization algorithm (SIAEO) based on environmental stimulus and a competition mechanism was devised to find the solution to a complex calculation, which can often become bogged down in local optimum because of the ...
Wenyan Guo   +3 more
doaj   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Gaining-Sharing Knowledge Based Algorithm With Adaptive Parameters for Engineering Optimization

open access: yesIEEE Access, 2021
As optimization algorithms have a great power to solve nonlinear, complex, and hard optimization problems, nature-inspired algorithms have been applied extensively in distinct fields in order to solve real life optimization cases.
Ali Wagdy Mohamed   +3 more
doaj   +1 more source

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