Results 181 to 190 of about 66,012 (265)

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

Sensors (Basel)
Seck D, Yanes-Luis S, Perales-Esteve M, Marín ST, Gutiérrez-Reina D.   +4 more
europepmc   +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

NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles. [PDF]

Sci Rep
Aboyeji E, Ajani OS, Fenyom I, Mallipeddi R.   +3 more
europepmc   +1 more source

Multivariable controller design using pareto front

, 2011
A multivariable thermal system with two inputs and two outputs is investigated. Its inputs are a pair of heaters controlled by a computer while its outputs are temperatures measured by two sensors. The system is fully interactive so two different controller structures can be used to ensure that the temperatures track their respective set-points.
openaire   +1 more source

Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions. Adaptive planning addresses this by incrementally expanding infrastructure only as needed, reducing unnecessary investments.
Mofan Zhang, Megan Lickley, Marta Zaniolo, Arjun Nellikkattil, Sarah Fletcher   +4 more
wiley   +1 more source

A multiobjective human evolutionary optimization algorithm for complex engineering problems. [PDF]

Sci Rep
Tarunika D, Sharma A.
europepmc   +1 more source

Physics‐AI Synergized Optimization‐Learning‐Simulation Framework for Robust Cascade Reservoir Scheduling Under Future Hydrological Uncertainty

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Coordinated optimization of cascade reservoirs is critical for maximizing a river basin's economic, social, and ecological benefits. However, conventional hydropower scheduling lacks adaptability to complex future scenarios, constrained by seasonal hydrological variability and uncertain inflows.
Zhaoyang Zhu, Haotian Wu, Zhaocai Wang, Xingxing Zhang, Jiachen Kong, Chenye Liu, Zuowen Tan, Qikai Liu   +7 more
wiley   +1 more source

An improved multi-objective animated oat optimization algorithm for resource-constrained construction project organization design. [PDF]

Sci Rep
Xue Q, Wu C, Nie J, Zhou S, Liu H, Katsikis VN.   +5 more
europepmc   +1 more source

Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth

Microbial Biotechnology, Volume 19, Issue 5, May 2026.
Machine‐learning–guided optimization of amino acid composition revealed amino acid preferences in Bifidobacterium longum beyond auxotrophy. Cysteine was essential for growth, whereas under reduced amino acid supply, tyrosine predominantly influenced growth yield, and glutamate, leucine, and valine were key determinants of lag time.
Hiroki Kaneko, Kana Kadowaki, Shin Yoshimoto, Toshitaka Odamaki, Bei ‐ Wen Ying   +4 more
wiley   +1 more source

IM-NSGAII: A novel approach to boost convergence speed and population diversity in multi-objective optimization. [PDF]

PLoS One
Jiang W, Xie Z.
europepmc   +1 more source