Results 91 to 100 of about 94,208 (301)
Methods for many-objective optimization: an analysis [PDF]
, 2012 Decomposition-based methods are often cited as the solution to problems related with many-objective optimization. Decomposition-based methods employ a scalarizing function to reduce a many-objective problem into a set of single objective problems, which
Fleming, P.J., Giagkiozis, I.
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
Advanced Intelligent Discovery, EarlyView.This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Necessary and Sufficient Conditions for Pareto Optimality in Infinite Horizon Cooperative Differential Games [PDF]
In this article we derive necessary and sufficient conditions for the existence of Pareto optimal solutions for infinite horizon cooperative differential games. We consider games defined by non autonomous and discounted autonomous systems.
Engwerda, J.C., Reddy, P.V.
core +1 more source
Parallel Algorithms for Multicriteria Shortest Path Problems [PDF]
, 2006 This paper presents two strategies for solving multicriteria shortest path problems with more than two criteria. Given an undirected graph within vertices, medges, and a set of K weights associated with each edge, we define a path as a sequence of edges ...
Sonnier, David L.
core
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Jixie chuandong, 2012 The multi-objective optimum model for maximal contact ratio,minimum volume and equal to bending strength of high contact ratio cylindrical gear drive is established,the Pareto optimal solutions are obtained by using a fast elitist non-dominated sorting ...
赵宁, 杨杰
doaj
Journal of Modern Power Systems and Clean Energy, 2017 This paper presents a multi-objective Pareto optimal method for allocation of fault current limiters based on an immune algorithm, which takes into account two objectives of the cost and fault current mitigation effect.
Baichao Chen +5 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Angewandte Chemie, EarlyView.Pareto optimal compositions of alloy catalyst for oxygen reduction reaction are uncovered through multi‐objective Bayesian optimization of activity, stability, and material cost in an eight‐element high‐entropy alloy composition space. The substantial Pareto front obtained is compared to experimental literature and analyzed to elucidate the roles and ...
Mads K. Plenge +4 more
wiley +2 more sources
AIP AdvancesIn high-dimensional multi-objective optimization problems, there are many Pareto solutions obtained by using high-dimensional multi-objective optimization algorithms, but there is only one meaningful optimal solution for the engineering problem; to find ...
Ziqi Fang, Zhili Tang
doaj +1 more source