Results 41 to 50 of about 66,012 (265)
This work presents a design for uninterruptible power supply inverters using Pareto front optimization for improved cost and efficiency. Three PWM modulation techniques applied to the full-bridge inverter are analyzed. As a result, the best MOSFET design
Edemar O. Prado +3 more
doaj +1 more source
Layout-aware Pareto fronts of electronic circuits
Pareto-optimal performance fronts have gained popularity as a representation of performance trade-offs of electronic circuits. They are also essential to support efficient bottom-up hierarchical design methodologies. Being such a key element in these methodologies, there have been many reported efforts to enhance the fronts with valuable information ...
Toro-Frias, A. +3 more
openaire +2 more sources
Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen +11 more
wiley +1 more source
We present a clinical distance measure for Pareto front evaluation studies in radiotherapy, which we show strongly correlates (r = 0.74 and 0.90) with clinical plan quality evaluation.
Kristoffer Petersson +6 more
doaj +1 more source
PAVED: Pareto Front Visualization for Engineering Design [PDF]
AbstractDesign problems in engineering typically involve a large solution space and several potentially conflicting criteria. Selecting a compromise solution is often supported by optimization algorithms that compute hundreds of Pareto‐optimal solutions, thus informing a decision by the engineer.
Cibulski, Lena +3 more
openaire +2 more sources
Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues
A bottom‐up biomaterial platform is developed to program transcriptomic states in pancreatic cancer organoids by tuning adhesion cues within synthetic matrices. By combining a Design of Experiments framework with multiobjective optimization, matrix compositions are identified that enrich specific cellular programs like EMT.
Ali Nadernezhad +6 more
wiley +1 more source
Exploring the Scientific Mechanism of Tree Structure Network based on LiDAR Point Cloud Data [PDF]
To explore how trees optimize their structure, we developed a method based on Pareto optimality theory. This method consists of the following operations. Firstly, we utilize Quantitative Structure Models for Single Trees from Laser Scanner Data (TreeQSM)
H. Chen, Y. Lin
doaj +1 more source
Finding Pareto-front Membership Functions in Fuzzy Data Mining [PDF]
Transactions with quantitative values are commonly seen in real-world applications. Fuzzy mining algorithms have thus been developed recently to induce linguistic knowledge from quantitative databases.
Chun-Hao Chen +2 more
doaj +1 more source
Generalized decomposition and cross entropy methods for many-objective optimization [PDF]
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
core
Computing the set of Epsilon-efficient solutions in multiobjective space mission design [PDF]
In this work, we consider multiobjective space mission design problems. We will start from the need, from a practical point of view, to consider in addition to the (Pareto) optimal solutions also nearly optimal ones.
Carlos A. Coello Coello +11 more
core +1 more source

