Results 61 to 70 of about 164,719 (284)

Presolving linear bilevel optimization problems

EURO Journal on Computational Optimization, 2021
Linear bilevel optimization problems are known to be strongly NP-hard and the computational techniques to solve these problems are often motivated by techniques from single-level mixed-integer optimization.
Thomas Kleinert, Julian Manns, Martin Schmidt, Dieter Weninger   +3 more
doaj   +1 more source

Outer Approximation for Mixed-Integer Nonlinear Robust Optimization

Journal of Optimization Theory and Applications, 2022
AbstractCurrently, few approaches are available for mixed-integer nonlinear robust optimization. Those that do exist typically either require restrictive assumptions on the problem structure or do not guarantee robust protection. In this work, we develop an algorithm for convex mixed-integer nonlinear robust optimization problems where a key feature is
Martina Kuchlbauer, Frauke Liers, Michael Stingl   +2 more
openaire   +2 more sources

Graphene‐Based Wearable Textile Triboelectric Nanogenerators and Biomechanical Sensors

Advanced Materials Technologies, EarlyView.
This study presents a wearable textile‐based triboelectric nanogenerator (T‐TENG) using sprayed graphene enhanced with a PVA adhesion layer. The graphene‐based electrode demonstrates high electrical conductivity and robustness to multiple bends. The fabricated T‐TENG provides stable and efficient output, with strong responsiveness to biomotion.
Hongyang Dang, Benji Fenech‐Salerno, Antonio Alessio Leonardi, Federico La Barbera, Felice Torrisi   +4 more
wiley   +1 more source

An Optimal Generation Scheduling Approach Based on Linear Relaxation and Mixed Integer Programming

IEEE Access, 2020
This paper proposes an optimal generation scheduling approach based on linear relaxation and mixed integer programming, which is used to solve the generation dispatch problem.
Yunkai Lei, Fang Liu, Ao Li, Yunche Su, Xinting Yang, Jiehui Zheng   +5 more
doaj   +1 more source

Chameleonic Color‐Variable Microbead Emitters for Multilevel Spectroscopic Encryption from Visible to Infrared Wavelengths

Advanced Optical Materials, EarlyView.
Whispering‐gallery‐mode microresonators with sharp resonant peaks enable photonic barcoding. Similar to a chameleon, a rare‐earth‐free microcavity with π‐conjugated PAHs enables visibleto‐near infrared color generation from a single microbead. The unique resonat emission (spectral barcode) can be dynamically transformed via excitation wavelength change,
Barun Kumar Barman, Keisuke Watanabe, Kenzo Deguchi, Shinobu Ohki, Kenjiro Hashi, Atsushi Goto, Tadaaki Nagao   +6 more
wiley   +1 more source

A comparison between MILP and MINLP approaches to optimal solution of Nonlinear Discrete Transportation Problem

Transport, 2015
Finding an exact optimal solution of the Nonlinear Discrete Transportation Problem (NDTP) represents a challenging task in transportation science. Development of an adequate model formulation and selection of an appropriate optimization method are thus ...
Uroš Klanšek
doaj   +1 more source

Solution of Mixed-Integer Optimization Problems in Bioinformatics with Differential Evolution Method

Mathematics, 2021
The solution of the so-called mixed-integer optimization problem is an important challenge for modern life sciences. A wide range of methods has been developed for its solution, including metaheuristics approaches. Here, a modification is proposed of the
Sergey Salihov, Dmitriy Maltsov, Maria Samsonova, Konstantin Kozlov   +3 more
doaj   +1 more source

Learning to optimize: A tutorial for continuous and mixed-integer optimization

Science China Mathematics
Learning to Optimize (L2O) stands at the intersection of traditional optimization and machine learning, utilizing the capabilities of machine learning to enhance conventional optimization techniques. As real-world optimization problems frequently share common structures, L2O provides a tool to exploit these structures for better or faster solutions ...
Xiaohan Chen, Jialin Liu 0003, Wotao Yin
openaire   +2 more sources

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source