Results 61 to 70 of about 3,892,997 (230)

A memetic algorithm with adaptive hill climbing strategy for dynamic optimization problems [PDF]

, 2009
Copyright @ Springer-Verlag 2008Dynamic optimization problems challenge traditional evolutionary algorithms seriously since they, once converged, cannot adapt quickly to environmental changes. This paper investigates the application of memetic algorithms,
Wang, H, Yang, S, Wang, Dingwei, Yang, Shengxiang, Wang, Hongfeng, Wang, D   +5 more
core   +1 more source

In Situ Profiling of Nanoscale Strains Uncovers Mechano‐Architectural Predictors of Aging and Osteoarthritis Emergence

Advanced Science, EarlyView.
In situ mechanical loading of osteoarthritis‐prone murine knee joints reveals that spatial alterations in subchondral plate microarchitecture precede cartilage loss and promote a shift from coordinated epiphyseal strain dissipation in healthy joints to focal subchondral strain concentration in osteoarthritis‐prone joints.
Aikta Sharma, Lucinda A. E. Evans, Lucie E. Bourne, Jishizhan Chen, Alissa L. Parmenter, Joseph Brunet, Kamel Madi, Sebastian Marussi, Andrew A. Pitsillides, Peter D. Lee, Katherine A. Staines   +10 more
wiley   +1 more source

Evaluation of several initialization methods on arithmetic optimization algorithm performance

Journal of Intelligent Systems, 2021
Arithmetic optimization algorithm (AOA) is one of the recently proposed population-based metaheuristic algorithms. The algorithmic design concept of the AOA is based on the distributive behavior of arithmetic operators, namely, multiplication (M ...
Agushaka Jeffrey O., Ezugwu Absalom E.
doaj   +1 more source

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

Advanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

Boosting Moth-Flame Optimization Algorithm by Arithmetic Optimization Algorithm for Data Clustering

, 2022
No Full ...
Mohamed Abd Elaziz, Otair, M, Putra Sumari, Amir H. Gandomi, Abualigah, L, Jia, H, Jia, Heming, Mohammed Otair, Mirjalili, S, Gandomi, Amir H., Heming Jia, Sumari, P, Seyedali Mirjalili, Elaziz, MA, Gandomi, AH, Laith Abualigah   +15 more
core   +1 more source

Predicting Single‐Cell Perturbation Responses Across Biological Contexts With a Deep Generative Model Integrating Optimal Transport

Advanced Science, EarlyView.
Single‐cell perturbation responses are predicted across held‐out biological contexts using scPILOT, a query‐conditioned two‐stage latent response‐transfer framework. A shared latent representation supports cell‐level response estimation by latent optimal transport, followed by Leiden‐localized query‐specific transfer and adaptive weighting.
Jialiang Wang, Ziqi Liu, Zhengqian Zhang, Yikun Cao, Junjun Ren, Peng Cheng, Jingjing Tian, Lingyun Xie, Xin Lu, Zhanwei Du, Yongzhuang Liu   +10 more
wiley   +1 more source

An Adaptive Parallel Arithmetic Optimization Algorithm for Robot Path Planning

Journal of Advanced Transportation, 2021
Path planning is one of the hotspots in the research of automotive engineering. Aiming at the issue of robot path planning with the goal of finding a collision-free optimal motion path in an environment with barriers, this study proposes an adaptive ...
Ruo-Bin Wang, Wei-Feng Wang, Lin Xu, Jeng-Shyang Pan, Shu-Chuan Chu   +4 more
doaj   +1 more source

Probabilistic Computing via Gate‐Tunable Random Telegraph Noise

Advanced Science, EarlyView.
Intrinsic random telegraph noise in metal–oxide–semiconductor field‐effect transistors is harnessed to create gate‐tunable probabilistic bits. By modulating carrier‐trapping dynamics, the device produces stochastic binary outputs with a continuous bias‐to‐probability transfer.
Gyungwon Yun, Jin Pyo Kang, Ho‐Sung Lee, Ik‐Hyeon Jeon, Ki‐Ju Park, Won‐Ju Cho, Seung‐heon Chris Baek, Joo‐Hyung Chae, Hamin Park   +8 more
wiley   +1 more source

Multi‐Modal Low‐Power Adaptive Braille Recognition System Based on Hf0.3Zr0.7O2 Memristor

Advanced Science, EarlyView.
A multimodal adaptive perception system based on HZO ferroelectric memristor realizes efficient Braille digit recognition via reservoir computing. It delivers high recognition accuracy with ultralow‑energy analog computation, offering a promising hardware solution for environment‑robust neuromorphic assistive devices for visually impaired users ...
Jikang Xu, Jiacheng Wang, Ziye Li, Weidong Sun, Jianlin Wang, Qiang Lu, Wenjing Liu, Xiaoyang Liu, Yan Sun, Xiaobing Yan   +9 more
wiley   +1 more source