Results 61 to 70 of about 1,756,488 (218)

Hypervolume-based Multi-objective Bayesian Optimization with Student-t Processes [PDF]

, 2016
Student-$t$ processes have recently been proposed as an appealing alternative non-parameteric function prior. They feature enhanced flexibility and predictive variance.
Couckuyt, Ivo, Dhaene, Tom, van der Herten, Joachim   +2 more
core   +2 more sources

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Covariance Matrix Adaptation Pareto Archived Evolution Strategy with Hypervolume-sorted Adaptive Grid Algorithm. [PDF]

, 2016
Real-world problems often involve the optimisation of multiple conflicting objectives. These problems, referred to as multi-objective optimisation problems, are especially challenging when more than three objectives are considered simultaneously.
Adeli, Antonelli, Bader, Blakelock, Bolourchi, Bringmann, Cerveira, Cheng, Cheng, Chow, Coello, Coello, Coello, Coletta, Corne, Deb, Deb, Deb, Emmerich, Etkin, Everson, Fleischer, Fonseca, Hansen, Helbig, Huband, Igel, Ishibuchi, Ishibuchi, Ishibuchi, Jain, Jaszkiewicz, Jia, Joly, Khare, Kim, Kociecki, Kociecki, Kociecki, Lara, Lee, Li, Lin, López-Jaimes, López-Jaimes, Menendez, Mesejo, Miettinen, Perez-Ramirez, Purshouse, Rashidi, Rostami, Sarma, Sarma, Shabbir, Siddique, Sindhya, Tabak, Tan, Tan, Van Moffaert, Vincenzi, Walker, Wang, While, Wilcoxon, Wolpert, Wu, Yuan, Zhang, Zhang, Zhang, Zhou, Zhu, Zitzler, Zou   +75 more
core   +2 more sources

Multiobjective Environmental Cleanup with Autonomous Surface Vehicle Fleets Using Multitask Multiagent Deep Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
This study presents a multitask strategy for plastic cleanup with autonomous surface vehicles, combining exploration and cleaning phases. A two‐headed Deep Q‐Network shared by all agents is traineded via multiobjective reinforcement learning, producing a Pareto front of trade‐offs.
Dame Seck, Samuel Yanes, Manuel Perales, Daniel Gutiérrez, Sergio Toral   +4 more
wiley   +1 more source

Multi-objective optimization algorithm for improving the efficiency of speeded up robust features of image stitching

IJAIN (International Journal of Advances in Intelligent Informatics)
Image stitching to generate panoramic or composite images. This research proposes improved parameters for the fundamental matrix in the standard SURF method via multi-objective optimization.
Kittisak Sanprasit, Uraiwan Butsathip, Khomyuth Chaiwong   +2 more
doaj   +1 more source

Short‐Term Scheduling Optimization of a Single‐Pipeline Refining System With High Melting Point Crude Oil

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT In order to reflect the actual production situation more comprehensively and optimize the production cost, this paper solves the short‐term scheduling optimization problem for a single pipeline containing high melting point crude oil. Based on the refining plan given by the upper layer, a multi‐objective optimization model with high melting ...
Jing Yao, Xianxin Liu, Zhen Pan, Chengming Hao, Xiangwei Xu, Wei Jia   +5 more
wiley   +1 more source

An Hypervolume based constraint handling technique for multi-objective optimization problems [PDF]

, 2011
Formulation of structural optimization problems usually leads to the individuation of one or more objective functions to be minimized under different constraints.
FILECCIA SCIMEMI, Giuseppe, RIZZO, Santi
core  

Probabilistic Multi‐Objective Energy Management System Model for an Energy Hub With PtG Technology for Cost Reduction and System Flexibility Improvement

Energy Science &Engineering, EarlyView.
Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi, Mehrdad Ahmadi Kamarposhti, Mohsen Sedighi, Alireza Ghafouri   +3 more
wiley   +1 more source

Variational quantum multiobjective optimization

Physical Review Research
Solving combinatorial optimization problems on near-term quantum devices has gained a lot of attention in recent years. Currently, most studies have focused on single-objective problems, whereas many real-world applications need to consider multiple ...
Linus Ekstrom, Hao Wang, Sebastian Schmitt   +2 more
doaj   +1 more source

Functional diversity in agricultural landscapes: evidence of long‐term clustering and multi‐scale effects of land use on avian communities

Oikos, EarlyView.
Functional diversity (FD) is an essential community property connecting biodiversity, ecosystem functioning, and conservation objectives. In agricultural landscapes, avian communities, which play key functional roles, are facing large‐scale biodiversity erosion, largely due to land‐use changes.
Pietro Tirozzi, Olivia Dondina, Valerio Orioli, Luciano Bani   +3 more
wiley   +1 more source