Results 31 to 40 of about 13,344 (202)

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Ant colony system-based applications to electrical distribution system optimization [PDF]

, 2011
Chapter 16, February ...
Chicco, Gianfranco, Gianfranco Chicco
core   +1 more source

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source

Improving the interpretability of classification rules discovered by an ant colony algorithm. [PDF]

, 2013
The vast majority of Ant Colony Optimization (ACO) al- gorithms for inducing classification rules use an ACO-based procedure to create a rule in an one-at-a-time fashion. An improved search strategy has been proposed in the cAnt- MinerPB algorithm, where
Otero, Fernando E.B., Alex A. Freitas, Freitas, Alex A., Fernando E.B. Otero   +3 more
core   +1 more source

Ant Colony Optimization Algorithm

Journal of Applied Technology and Innovation
ACO is a potent algorithm inspired by ants' social behavior. It can solve complex computational problems and offers a promising approach to finding near-optimal solutions in various domains. This essay focuses on ACO's potential to solve the Travelling Salesman Problem (TSP) by mimicking ants' pheromone-based path finding.
Olive Cheong Yu Xuan, Liew Kar Yan, Loh Xue Li, Chu Kwan Yeu Jovi James, Ko Chin Zheng, Zailan Arabee bin Abdul Salam   +5 more
openaire   +1 more source

Covalent Reprogramming of Kinase Binders to Modulate Protein Abundance

Advanced Science, EarlyView.
Electrophilic remodeling of a broad‐spectrum kinase binder reveals how subtle chemical changes reprogram protein fate. An acrylamide analog of a multi‐kinase binder selectively stabilizes Aurora kinase A (AURKA) by suppressing its ubiquitination, while a short‐linker variant converts this stabilizer into a degrader.
Chen Mozes, Xiaokang Jin, Miguel A. Campos, Chen Zhou, Xiaoyu Zhang   +4 more
wiley   +1 more source

cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes [PDF]

, 2008
This paper presents an extension to Ant-Miner, named cAnt-Miner (Ant-Miner coping with continuous attributes), which incorporates an entropy-based discretization method in order to cope with continuous attributes during the rule construction process.
Otero, Fernando E.B., Colin G. Johnson, Johnson, Colin G., Alex A. Freitas, Freitas, Alex A., Fernando E. B. Otero   +5 more
core   +1 more source

Traffic signal optimization using Ant Colony Algorithm

The 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users' delays. Ant Colony Optimization (ACO) is a meta-heuristic algorithm based on the behavior of ant colonies searching for food. ACO has successfully been employed to solve many complicated combinatorial optimization problems and its stochastic and ...
David Renfrew, Xiao-Hua Yu
openaire   +3 more sources

SamACO: Variable Sampling Ant Colony Optimization Algorithm for Continuous Optimization [PDF]

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010
An ant colony optimization (ACO) algorithm offers algorithmic techniques for optimization by simulating the foraging behavior of a group of ants to perform incremental solution constructions and to realize a pheromone laying-and-following mechanism.
Xiaomin Hu, Jun Zhang 0003, Henry Shu-Hung Chung, Yun Li 0002, Ou Liu   +4 more
openaire   +3 more sources