Results 121 to 130 of about 299,863 (342)
An Improved Evolutionary Multi-Objective Clustering Algorithm Based on Autoencoder
Evolutionary multi-objective clustering (EMOC) algorithms have gained popularity recently, as they can obtain a set of clustering solutions in a single run by optimizing multiple objectives.
Mingxin Qiu +3 more
doaj +1 more source
Adaptive Twisting Metamaterials
This work introduces torque‐controlled twisting metamaterials as a transformative platform for adaptive crashworthiness. By combining multiscale predictive modeling with experimental validation on additively manufactured gyroids, it demonstrates tunable stiffness, collapse stress, and energy absorption.
Mattia Utzeri +6 more
wiley +1 more source
Two-Stage Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
The core issue in handling constrained multi-objective optimization problems (CMOP) is how to maintain a balance between objectives and constraints. However, existing constrained multi-objective evolutionary algorithms (CMOEAs) often fail to achieve the ...
Kai Zhang +3 more
doaj +1 more source
Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithm. [PDF]
Moctezuma LA, Abe T, Molinas M.
europepmc +1 more source
Majority of Artificial Neural Network (ANN) implementations in autonomous systems use a fixed/user-prescribed network topology, leading to sub-optimal performance and low portability.
Behjat, Amir +2 more
core +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
An evolutionary constrained multi-objective optimization algorithm with parallel evaluation strategy
This paper proposes an improved evolutionary algorithm with parallel evaluation strategy (EAPES) for solving constrained multi-objective optimization problems (CMOPs) efficiently.
Koji SHIMOYAMA, Taiga KATO
doaj +1 more source
Recent Progress on Flexible Multimodal Sensors: Decoupling Strategies, Fabrication and Applications
In this review, we establish a tripartite decoupling framework for flexible multimodal sensors, which elucidates the underlying principles of signal crosstalk and their solutions through material design, structural engineering, and AI algorithms. We also demonstrate its potential applications across environmental monitoring, health monitoring, human ...
Tao Wu +10 more
wiley +1 more source
Constrained multi-objective optimization problems (cMOPs) are complex because the optimizer should balance not only between exploration and exploitation, but also between feasibility and optimality.
Weikang Ning +5 more
semanticscholar +1 more source
Metasurface‐engineered NC‐TENG arrays integrate tactile pressure mapping, non‐contact gesture sensing, and acoustic signal readouts in one ultrathin module, and outperforms pristine PDMS in terms of electrical output and real‐time spatial mapping for next‐gen wearables.
Injamamul Arief +12 more
wiley +1 more source

