Results 91 to 100 of about 64,962 (224)

Heuristics for the traveling repairman problem with profits [PDF]

, 2010
In the traveling repairman problem with profits, a repairman (also known as the server) visits a subset of nodes in order to collect time-dependent profits. The objective consists of maximizing the total collected revenue.
Dewilde, Thijs, Dirk, Cattrysse, Sofie, Coene, Spieksma, Frits CR, Vansteenwegen, Pieter   +4 more
core   +1 more source

High Sensitivity Cardiac Troponin I Detection via MP‐Locked Aptamer and Multimeric DNAzyme‐Coupled Hyperbranched Hybridization Chain Reaction

Small, EarlyView.
We report a magnetic particle anchored locked aptamer platform integrated with hyperbranched HCR and DNAzyme amplification for enzyme‐free, ultrasensitive detection of cardiac troponin I. The assay achieves a 0.25 ng/L detection limit within 25 minutes and enables cross‐species MI detection, with machine learning classification reaching 90% accuracy ...
Sayantan Tripathy, Sahil Sharma, Ng Ka Wai, Siddhant Jaitpal, Anthony Dongchau, Saugat Bhattacharyya, Sonya R. Wesselowski, Ashley B. Saunders, Gerard L. Coté, Samuel B. Mabbott   +9 more
wiley   +1 more source

Combining solutions of the optimum satisfiability problem using evolutionary tunneling

Mendel, 2020
The optimum satisfiability problem involves determining values for Boolean variables to satisfy a Boolean expression, while maximizing the sum of coefficients associated with the variables chosen to be true.
Rodrigo Ferreira da Silva, Lars Magnus Hvattum, Fred Glover   +2 more
doaj   +1 more source

Explainable artificial intelligence (XAI)‐powered design framework for lightweight strain‐hardening ultra‐high‐performance composites (SH‐UHPC)

Structural Concrete, EarlyView.
Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Bio‐Inspired Optimisation Methods Applied to Low Carbon Power and Energy Problems: A Survey

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Bio‐inspired optimisation methods have been widely applied to complex real‐world problems, particularly in low‐carbon power and energy systems, where optimisation tasks often involve high‐dimensional, constrained and mixed‐integer characteristics.
Tianyu Hu, Shihao Zhao, Yuanjun Guo, Linxin Zhang, Zhile Yang   +4 more
wiley   +1 more source

AI‐Powered Anomaly Detection for Secure Internet of Things (IoT): Optimising XGBoost and Deep Learning With Bayesian Optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim, Lal Hussain, Mohammed A. Alqarni, Faisal S. Alsubaei, Rasha Jamal Atwah   +4 more
wiley   +1 more source

Current Trends in Simheuristics: from smart transportation to agent-based simheuristics [PDF]

, 2018
Simheuristics extend metaheuristics by adding a simulation layer that allows the optimization component to deal efficiently with scenarios under uncertainty.
Estrada-Moreno, Alejandro, Freixes, Alfons, Juan Pérez, Ángel Alejandro, Panadero, Javier, Serrat Piè, Carles   +4 more
core  

State Transition Algorithm

, 2012
In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright, A. K. Qin, C. Hamzacebi, C. Hamzacebi, D. D. Burgess, D. E. Goldberg, D. H. Wolpert, D. W. Stroock, F. J. Solis, F. V. Berth, G. Albeanu, G. Rudolph, H. A. Abbass, J. A. Nelder, J. C. Lagarias, J. J. Liang, J. Kennedy, J. Matyas, J. Y. Li, K. Deb, K. F. C. Yiu, P. Collet, R. C. Eberhart, R. Hooke, R. Storn, T. D. Tran, T. W. Leung, T. Zhang, X. J. Zhou, X. J. Zhou, X. S. Yang, Y. H. Shi, Y. X. Yuan, Z. Michalewicz   +33 more
core   +1 more source

A Formation Inversion Algorithm Based on Collaborative Fuzzy Gradient Neural Dynamics for Natural Gamma Logging While Drilling

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A formation inversion algorithm with real‐time performance and accuracy is crucial for natural gamma logging while drilling (LWD). However, traditional inversion algorithms are often limited by high computational resource consumption and insufficient accuracy.
Juntao Liu, Ruoxiao Liu, Wenxin Li, Zhenming Su, Long Jin   +4 more
wiley   +1 more source