Results 111 to 120 of about 28,586 (232)

Bottom‐Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

Advanced Materials, Volume 38, Issue 27, 14 May 2026.
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, Verena J. Kast, Dagmar Pette, Franziska Baenke, Daniel E. Stange, Carsten Werner, Daniela Loessner   +6 more
wiley   +1 more source

PasMoQAP: A Parallel Asynchronous Memetic Algorithm for solving the Multi-Objective Quadratic Assignment Problem

, 2017
Multi-Objective Optimization Problems (MOPs) have attracted growing attention during the last decades. Multi-Objective Evolutionary Algorithms (MOEAs) have been extensively used to address MOPs because are able to approximate a set of non-dominated high ...
Berretta, Regina, Jimenez, Francia, Moscato, Pablo, Sanhueza, Claudio   +3 more
core   +1 more source

Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem

IEEE Transactions on Evolutionary Computation
The NSGA-II is the most prominent multi-objective evolutionary algorithm (cited more than 50,000 times). Very recently, a mathematical runtime analysis has proven that this algorithm can have enormous difficulties when the number of objectives is larger than two (Zheng, Doerr. IEEE Transactions on Evolutionary Computation (2024)).
Benjamin Doerr, Dimitri Korkotashvili, Martin S. Krejca   +2 more
openaire   +2 more sources

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, Volume 13, Issue 29, 22 May 2026.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Optimizing pressurized drip irrigation pipe network design using an improved NSGA-II algorithm and engineering depreciation cost method

Guan'gai paishui xuebao
【Objective】Optimizing pipe networks is a critical aspect of drip irrigation design. This paper proposes a multi-objective method to optimize pressurized drip irrigation network design and evaluate its applicability.【Method】The optimization method ...
FAN Kai, HUO Xuefei, WANG Wen’e, HU Xiaotao, RAN Danjie, PI Yingying   +5 more
doaj   +1 more source

Evolutionary multi-objective Algorithm for Continuous Review Stochastic Inventory Systems [PDF]

Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2011
Different inventory control systems try to determine how much and when to order at the least relevant cost while maintaining a desirable service level for customers. In this article, a continuous review stochastic inventory system, with three objectives,
Soheila Khishtandar, Farhad Farzad, Mostafa Zandieh   +2 more
doaj  

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Hybrid reinforcement learning optimization of aging aware energy management and powertrain sizing in fuel cell hybrid electric vehicles

Scientific Reports
This paper introduces a novel hybrid optimization framework for the aging-aware co-design of powertrain component sizing and energy management systems (EMS) in fuel cell hybrid electric vehicles (FCHEVs).
Afshin Mostashiri, Morteza Montazeri-Gh
doaj   +1 more source

Adaptive Hybrid Multi‐Objective Evolutionary Algorithm for Wireless Sensor Network Optimization: A Comprehensive Framework Integrating Opposition‐Based Learning and Levy Flight Strategies

Engineering Reports, Volume 8, Issue 5, May 2026.
The configuration of WSN design parameters presents a formidable multi‐objective optimization challenge characterized by five competing objectives that exhibit complex interdependencies. Figure 1 illustrates a typical WSN deployment topology showing sensor nodes, cluster heads, coverage areas, and various network conditions including out‐of‐range ...
Sandeep Deshmukh, Deepak Chandra Uprety, Mohd Haroon, Dyuti Banerjee, Preety Shoran, Yash Varshney, Anurag Sinha, Samarth Sinha, Shantanu Kumar Mishra   +8 more
wiley   +1 more source

Optimization of Parsimonious and Synchronized Discharge and Dissolved Organic Carbon Models Across Catchment Scales

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract The production, transport, loss, and export of dissolved organic carbon (DOC) are closely connected with hydrometeorological drivers. While terrestrial production depends on biogeochemical variables like soil moisture, air temperature, and the contact area between water and organic matter sources, export is determined by water availability and
Juan Pesántez, Christian Birkel, Gabriel Gaona, William H. McDowell, Michelle D. Shattuck, Jody D. Potter, Alexandra R. Contosta, Adam S. Wymore   +7 more
wiley   +1 more source