Results 81 to 90 of about 4,635,823 (252)
Advanced Intelligent Discovery, EarlyView.Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source
New search strategy for multi-objective evolutionary algorithm
HeliyonTo address the problem of low search efficiency of multi-objective evolutionary algorithm during iterations, we proposed a new idea which considering a single individual to generate better solutions in a single iteration as a starting point to improve ...
Liu Yuejun
doaj +1 more source
Finding the optimal design of a passive microfluidic mixer. [PDF]
, 2019 The ability to thoroughly mix two fluids is a fundamental need in microfluidics. While a variety of different microfluidic mixers have been designed by researchers, it remains unknown which (if any) of these mixers are optimal (that is, which designs ...
Brisk, Philip +5 more
core +1 more source
Comparison of Direct Multiobjective Optimization Methods for the Design of Electric Vehicles [PDF]
, 2006 "System design oriented methodologies" are discussed in this paper through the comparison of multiobjective optimization methods applied to heterogeneous devices in electrical engineering.
Fefermann, Yan +3 more
core +2 more sources
Volute Optimization Based on NSGA-II Algorithm
, 2022 Optimizing the volute performance can effetely improve the efficiency of a centrifugal fan by changing the volute geometric parameter, so the Kriging model is used to optimize the volute geometric parameter. Firstly, Volute radius Rd, the radius of tongue r and outlet angle of the volute θ are selected as the optimization parameters of the volute, and ...
Meng, Fannian +3 more
openaire +1 more source
Advanced Intelligent Systems, EarlyView.A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee +4 more
wiley +1 more source
An Energy-driven Network Function Virtualization for Multi-domain Software Defined Networks
, 2019 Network Functions Virtualization (NFV) in Software Defined Networks (SDN) emerged as a new technology for creating virtual instances for smooth execution of multiple applications. Their amalgamation provides flexible and programmable platforms to utilize
Ahmed, Syed Hassan +5 more
core +1 more source
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT This study presents a comparative analysis of two optimization approaches: Sequential Iterative Optimization (SIO) and Non‐dominated Sorting Genetic Algorithm II (NSGA‐II) applied to the separation of ternary mixtures (1‐butanol, isobutanol, and 2‐butanol) using Dual‐Column Distillation (DCD) and Dividing‐Wall Column (DWC) processes. Through a
Ruijie Wang +5 more
wiley +1 more source
A convergence acceleration operator for multiobjective optimisation [PDF]
, 2007 A novel multiobjective optimisation accelerator is introduced that uses direct manipulation in objective space together with neural network mappings from objective space to decision space.
Adra, S.F., Fleming, P.J., Griffin, I.A.
core +1 more source
A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy [PDF]
, 2016 Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor.
Aldana-Montes, Jose Francisco +4 more
core +1 more source