Results 51 to 60 of about 73,326 (287)

Meta-heuristic algorithms in car engine design: a literature survey [PDF]

, 2015
Meta-heuristic algorithms are often inspired by natural phenomena, including the evolution of species in Darwinian natural selection theory, ant behaviors in biology, flock behaviors of some birds, and annealing in metallurgy.
Tayarani-N, Mohammad-H., Xu, Hongming, Yao, Xin   +2 more
core   +2 more sources

Mesenchymal Stem Cell‐Derived Apoptotic Micro‐Vesicles Repaired Sciatic Nerve Defect by Regulating Early Inflammatory Microenvironment and Promoting Angiogenesis

Advanced Healthcare Materials, EarlyView.
HUCMSC‐Apo‐mvs enhance peripheral nerve repair by modulating the inflammatory microenvironment (IME), primarily through coordinated actions on three functional cells. They recruit macrophages and promote their polarization from pro‐inflammatory M1 to anti‐inflammatory M2 phenotypes, increasing secretion of IL‐10 and VEGF.
Haolin Liu, Yiben Ouyang, Bo Wang, Xiaochun Zhang, Yanjun Guan, Ruichao He, Yuhui Cui, Junli Wang, Qianru Yao, Yixiao Tan, Xiwei Peng, Xing Xiong, Sice Wang, Dongdong Li, Haofeng Cheng, Tianqi Su, Xiaoyang Fu, Jinjuan Zhao, Mingqian Yu, Yi Wang, Jiang Peng, Yu Wang   +21 more
wiley   +1 more source

Automating Vascular Biology: An End‐to‐End Automated Workflow for High‐Throughput Blood Vessel‐on‐a‐Chip Production and Multi‐Site Validation

Advanced Healthcare Materials, EarlyView.
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin, Hanieh Mohammad Hashemi, Kimia Asadi Jozani, Anushree Chakravarty, Sonya Kouthouridis, Jessica Bonanno, Nicky Anvari, Shravanthi Rajasekar, Feng Zhang, Richard Y. Cheng, Narendra Kumar Singh, Luis Miguel Medina, Marc Durante, Yufang He, Boyang Zhang   +14 more
wiley   +1 more source

Recent Advances in Collective Behaviors of Micro/Nanomotor Swarms

Advanced Materials, EarlyView.
This review describes the driving forces behind collective motion, explores the self‐organization of micro/nano swarms across zero‐dimensional (0D), one‐dimensional (1D), two‐dimensional (2D), and three‐dimensional (3D) spaces, and highlights their potential in drug delivery, environmental monitoring, and smart devices.
Siwen Sun, Bingbing Sun, Alexander B. Cook, Tania Patiño Padial, Jan C. M. van Hest   +4 more
wiley   +1 more source

An Approximate Algorithm Combining P Systems and Ant Colony Optimization for Traveling Salesman Problems [PDF]

, 2010
This paper proposes an approximate optimization algorithm combining P systems with ant colony optimization, called ACOPS, to solve traveling salesman prob- lems, which are well-known and extensively studied NP-complete combinatorial optimization ...
Cheng, Jixiang, Gheorghe, Marian, Zhang, Gexiang   +2 more
core  

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Performance of a simple ACO on the minimum label spanning tree problem

Discover Applied Sciences
The minimum label spanning tree problem is an NP-complete combinatorial optimization problem. Experiments have shown that the ant colony optimization is effective for solving this problem.
Xinsheng Lai, Yuhang Cen
doaj   +1 more source

ANT COLONY OPTIMIZATION WITH DOUBLE SELECTIONS FOR SOLVING INTEGRATED SCHEDULING PROBLEM IN MANUFACTURER

Journal of Engineering and Management in Industrial System, 2019
In this paper, we studied ant colony optimization for solving integrated scheduling of production and distribution problems. We improved the ant colony optimization by adding double selections, there are, roulette wheel and elitism selections.
Sobri Abusini, Mita Akbar Sukmarini, Corina Karim   +2 more
doaj   +1 more source

Perancangan Rute Distribusi Beras Sejahtera Menggunakan Algoritma Ant Colony Optimization (Studi Kasus di BULOG Kabupaten Semarang [PDF]

, 2016
Distribution activity has a very important role in the supply chain. Distribution is an activity to send the goods or products from the supplier or manufacturer to the consumer.
Silaban, F. B. (Freddy), Suliantoro, H. (Hery), Susanty, A. (Aries)   +2 more
core  

ACOustic: A nature-inspired exploration indicator for ant colony optimization [PDF]

, 2015
A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms.
Abu Bakar, Muhamad Shahbani, Ku-Mahamud, Ku Ruhana, Sagban, Rafid   +2 more
core   +4 more sources