Results 61 to 70 of about 1,432,311 (298)

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

Advanced 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

Beyond the Pareto Front: Utilizing the Entire Population for Decision-Making in Evolutionary Machine Learning

Mathematics
Decision-making plays a pivotal role in data-driven optimization, aiming to achieve optimal results by identifying the most effective combination of input variables.
Parastoo Dehnad, Azam Asilian Bidgoli, Shahryar Rahnamayan   +2 more
doaj   +1 more source

Pareto front example.

, 2019
Pareto front example.
Miguel Ángel Pérez-Toledano (7344572), Sergio José Ibañez (7344578), Francisco J. Rodriguez (7344575), Javier García-Rubio (820451)   +3 more
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced 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, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Constructing a Pareto front approximation for decision making [PDF]

Mathematical Methods of Operations Research, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Markus Hartikainen, Kaisa Miettinen, Margaret M. Wiecek   +2 more
openaire   +4 more sources

Pareto-optimal cycles for power, efficiency and fluctuations of quantum heat engines using reinforcement learning

Physical Review Research, 2023
The full optimization of a quantum heat engine requires operating at high power, high efficiency, and high stability (i.e., low power fluctuations).
Paolo A. Erdman, Alberto Rolandi, Paolo Abiuso, Martí Perarnau-Llobet, Frank Noé   +4 more
doaj   +1 more source

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

Advanced 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, Longfei Lv, Fan Zhang, Si Zhou, Weiwei Gao, Jijun Zhao   +5 more
wiley   +1 more source

Reference Point MCDM Algorithm for Spectral and Energy Efficiency Trade-Off in Massive MIMO Systems

IEEE Access
This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive MIMO (Multiple-Input, Multiple-Output) systems.
Eni Haxhiraj, Ina Papadhopulli, Elson Agastra   +2 more
doaj   +1 more source

Illustration of Pareto front.

, 2014
Illustration of Pareto front.
Julius Žilinskas (624580), Mario Rosario Guarracino (624582), Algirdas Lančinskas (624581)   +2 more
core   +1 more source

Determining a Robust, Pareto Optimal Geometry for a Welded Joint [PDF]

, 2014
Multi-criteria optimization problems are known to give rise to a set of Pareto optimal solutions where one solution cannot be regarded as being superior to another.
Radhi, Hazim E., Barrans, Simon, Barrans, Simon M., Radhi, H.E.   +3 more
core   +1 more source