Results 121 to 130 of about 153,582,606 (300)
Pareto set of different methods on the Banana dataset.
Pareto set of different methods on the Banana dataset.
Hatem A. Khater (18297656) +2 more
core +1 more source
, 2012 Full blue points indicate members of the pareto set. Point (a) is the optimum for objective function for a given value of (red points). Point (b) minimizes for another value of (compared to green points).
Albert Sorribas (25168) +3 more
core +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Advanced Intelligent Discovery, EarlyView.Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Pareto set of different methods on the Adult9a dataset.
Pareto set of different methods on the Adult9a dataset.
Hatem A. Khater (18297656) +2 more
core +1 more source
Comparing two non-compensatory composite indices to measure changes over time: a case study [PDF]
, 2015 Composite indices are increasingly recognized as a useful tool to measure socio-economic phenomena such as quality of life, competitiveness, development, and poverty.
Pareto, A +3 more
core
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Pareto solution set of robust control parameters Γ = 40.
, 2018 Pareto solution set of robust control parameters Γ = 40.
Wei Hao (134390) +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
Pareto solution set of robust control parameters Γ = 0.
, 2018 Pareto solution set of robust control parameters Γ = 0.
Wei Hao (134390) +3 more
core +1 more source
Modelling and Simulation in Engineering, 2017 Most of the modern multiobjective optimization algorithms are based on the search technique of genetic algorithms; however the search techniques of other recently developed metaheuristics are emerging topics among researchers. This paper proposes a novel
Vimal Savsani +3 more
doaj +1 more source