Results 51 to 60 of about 81,531 (237)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

An Investigation into the Merger of Stochastic Diffusion Search and Particle Swarm Optimisation [PDF]

, 2011
This study reports early research aimed at applying the powerful resource allocation mechanism deployed in Stochastic Diffusion Search (SDS) to the Particle Swarm Optimiser (PSO) metaheuristic, effectively merging the two swarm intelligence algorithms ...
al-Rifaie, Mohammad Majid, Bishop, Mark (J. M.), Blackwell, Tim M.   +2 more
core   +2 more sources

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

Advanced Intelligent Systems, EarlyView.
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai, Sukrit Gaira, Rongfeng Wang, Qingtian Zhang, Ming Li, Liao Wu, Diangeng Li, Yi Li, Chengchen Zhang, Jinhong Guo, Shi‐Yang Tang   +10 more
wiley   +1 more source

A Novel Rotation Forest Modality Based on Hybrid NNs: RF (ScPSO-NN)

Journal of King Saud University: Computer and Information Sciences, 2019
Neural Network (NN), hybrid NN methods and Rotation Forest (RF) ensemble classifier are preferred in pattern analysis owing to their ability for finding efficient solutions on different problems.
Rahime Ceylan, Hasan Koyuncu
doaj   +1 more source

A Coevolutionary Particle Swarm Algorithm for Bi-Level Variational Inequalities: Applications to Competition in Highway Transportation Networks [PDF]

, 2009
A climate of increasing deregulation in traditional highway transportation, where the private sector has an expanded role in the provision of traditional transportation services, provides a background for practical policy issues to be investigated ...
Chiong, Raymond, Dhakal, Sandeep
core   +1 more source

Optimizing Benchmark Functions using Particle Swarm Optimization PSO

Al-Salam Journal for Engineering and Technology
Optimization is a very important step in many automated systems in different sectors because minimizing the search space to find the best solution and hence minimizing the time required by any automated system. This paper implements and evaluates Particle Swarm Optimization (PSO) on four benchmark optimization functions: Rastrigin, Sphere, Rosenbrock ...
Basim K. Abbas, Qabas Abdal Zahraa Jabbar, Rasha Talal Hameed   +2 more
openaire   +1 more source

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

Advanced Intelligent Systems, EarlyView.
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan, Phuong Linh Dao, Duc Tu Vu, The Doan Le, Sy Trung Ngo, Minh Tri Phan, T. Thang Vo‐Doan, Ke Wu, Mai Thanh Thai   +8 more
wiley   +1 more source

CMA-PSO Algorithm for Fuzzy Cloud Resource Scheduling

Journal of Harbin University of Science and Technology, 2022
Aiming at the multiobjective cloud resource scheduling problem, with the goal of optimizing the total completion time and total execution cost of the task, a fuzzy cloud resource scheduling model is established using the method of fuzzy mathematics ...
LI Cheng-yan, SONG Yue, MA Jin-tao
doaj   +1 more source

A benchmark study on identification of inelastic parameters based on deep drawing processes using pso – nelder mead hybrid approach [PDF]

, 2013
Optimization techniques have been increasingly used to identification of inelastic material parameters owing to their generality. Development of robust techniques to solving this class of inverse problems has been a challenge to researchers mainly due to
Bertoti, E., Luersen, M. A., Muñoz-Rojas, P. A., Trentin, R.G., Vaz Jr., M.   +4 more
core  

Adaptive hybrid optimization strategy for calibration and parameter estimation of physical models

, 2011
A new adaptive hybrid optimization strategy, entitled squads, is proposed for complex inverse analysis of computationally intensive physical models. The new strategy is designed to be computationally efficient and robust in identification of the global ...
Atmadji, Carrera, Clerc, Cooren, Dahlin, Dawkins, Digalakis, Dokou, Dylan R. Harp, Ghaffari-Miab, Griewank, Harp, Jessell, Krasnogor, Lagarias, Levenberg, Locatelli, Marquardt, Meek, Moscato, Nelder, Nocedal, Pan, Poeter, Poeter, Rao, Rosenbrock, Shang, Snodgrass, Sun, Velimir V. Vesselinov, Vesselinov, Vrugt, Wang, Wilson, Zhang   +35 more
core   +1 more source