Results 131 to 140 of about 21,806 (260)
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
Multiobjective optimization of echo state networks for multiple motor pattern learning
Krause AF, Dürr V, Bläsing B, Schack T. Multiobjective optimization of echo state networks for multiple motor pattern learning. In: Tetzlaff R, Schwarz W, Kelber K, eds. 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems : NDES 2010.
Schwarz, W. +6 more
core
Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer +3 more
wiley +1 more source
Review of Water Supply, Treatment and Distribution: Overcoming Challenges for Sustainable Management
ABSTRACT Water management faces increasing challenges driven by population growth, accelerated urbanization and climate change, demanding integrated and sustainable approaches to ensure the preservation of water resources. Water scarcity and rising demand intensify the vulnerability of various regions, threatening both water supply and environmental ...
André Linneo Tocchetto +5 more
wiley +1 more source
Box-constrained vector optimization: a steepest descent method without “a priori” scalarization [PDF]
In this paper a notion of descent direction for a vector function defined on a box is introduced. This concept is based on an appropriate convex combination of the “projected” gradients of the components of the objective functions.
Miglierina Enrico +2 more
core
Abstract In response to the increasing complexity of modern products, dynamic markets, and intensified competition, project‐based organizations are actively seeking methodologies to efficiently manage their expanding project portfolios. This paper analyzes the project portfolio selection problem in uncertain environments. Despite recent advances in the
Miguel Saiz +3 more
wiley +1 more source
A linear controller is calculated by the use of a multiobjective optimization technique, and is applied over the induction machine; which is modeled in the oriented coordinate rotor flux system.
Santiago Sánchez +2 more
doaj
Particle swarm optimization for constrained and multiobjective optimization: A brief review
Particle swarm optimization (PSO) is an optimization method that belongs to the swarm intelligence family. It was initially introduced as continuous problem optimization tool. It has evolved to being applied to more complex multiobjective and constrained
Alias, Mohamad Yusoff +3 more
core
Ensuring connectedness for the maximum quasi‐clique and densest k‐subgraph problems
Abstract Given an undirected graph G$G$, a quasi‐clique is a subgraph of G$G$ with density at least γ$\gamma$ (0<γ≤1)$(0 < \gamma \le 1)$. Two optimisation problems can be defined for quasi‐cliques: the maximum quasi‐clique (MQC) problem, which finds a quasi‐clique with maximum vertex cardinality, and the densest k$k$‐subgraph (DKS) problem, which ...
Daniela Scherer dos Santos +3 more
wiley +1 more source

