Results 81 to 90 of about 2,735,316 (329)

Optimization of Wind Turbine Airfoil Using Nondominated Sorting Genetic Algorithm and Pareto Optimal Front

open access: yesInternational Journal of Chemical Engineering, 2012
A Computational Fluid Dynamics (CFD) and response surface-based multiobjective design optimization were performed for six different 2D airfoil profiles, and the Pareto optimal front of each airfoil is presented.
Ziaul Huque   +3 more
doaj   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Learning and Selection of Pareto Optimal Policies Matching User Preferences

open access: yesIEEE Access
Reinforcement learning, which is attracting attention as a method for optimizing sequential decision-making, primarily focuses on scenarios with a single objective.
Akinori Tamura, Sachiyo Arai
doaj   +1 more source

Pareto Based Performance Framework for Urban Greening: Visualizing Trade offs between Cost, Carbon Sequestration, and Shading [PDF]

open access: yesE3S Web of Conferences
Urban greening in construction planning often entails trade offs between cost and ecological performance. This study develops a multi-objective optimization framework that explicitly exposes and interprets the trade-offs among cost, carbon sequestration,
Lin Yu-Cian, Chan Ying-Chieh
doaj   +1 more source

Optimal Sizing and Placement of Distributed Generation Based on Adaptive Manta Ray Foraging Optimization

open access: yesShanghai Jiaotong Daxue xuebao, 2021
In this paper, an optimal sizing and placement model for distributed generation (DG) is established, which includes active power losses, voltage profile, pollution emission, DG costs, and meteorological conditions.
YANG Bo, YU Lei, WANG Junting, SHU Hongchun, CAO Pulin, YU Tao
doaj   +1 more source

Computing the Complete Pareto Front

open access: yesCoRR, 2015
We give an efficient algorithm to enumerate all elements of a Pareto front in a multi-objective optimization problem in which the space of values is finite for all objectives. Our algorithm uses a feasibility check for a search space element as an oracle and minimizes the number of oracle calls that are necessary to identify the Pareto front of the ...
openaire   +2 more sources

Enhancing Amphibious Flipper‐Based Locomotion Through Terrain‐Dependent Bayesian Optimization of Central Pattern Generator Control

open access: yesAdvanced Robotics Research, EarlyView.
A sea turtle‐inspired amphibious robot uses simulation‐guided optimization to adapt its flipper coordination to different environments. Sensitivity analysis and multiobjective Bayesian optimization identify terrain‐dependent controllers that are validated on hardware.
Nnamdi C. Chikere, Yasemin Ozkan‐Aydin
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Pareto-front shape in multiobservable quantum control

open access: yes, 2017
Many scenarios in the sciences and engineering require simultaneous optimization of multiple objective functions, which are usually conflicting or competing.
Re-Bing Wu   +5 more
core   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

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