Results 51 to 60 of about 1,116,663 (238)
ABSTRACT Irritability is a prevalent and impairing feature associated with autism, yet remains poorly understood, particularly in adults. Drawing heavily on insights translated from pediatric and transdiagnostic literatures, we propose that irritability in autistic individuals often reflects a psychophysiological stress or threat response, rooted in a ...
Hsiang‐Yuan Lin +3 more
wiley +1 more source
Intelligent System Design Using Hyper-Heuristics
Determining the most appropriate search method or artificial intelligence technique to solve a problem is not always evident and usually requires implementation of the different approaches to ascertain this. In some instances a single approach may not be
Nelishia Pillay
doaj +1 more source
A Hyper-Heuristic for the Orienteering Problem With Hotel Selection
We present a hyper-heuristic approach to solve Orienteering Problem with Hotel Selection (OPHS). In practical applications, OPHS appears when a tourist is planning to visit various attractions and there is not enough time to reach all of them in a single
Alan Toledo +2 more
doaj +1 more source
Tetrazine Ligation in Living Systems: Beyond Fast Kinetics to Effective Bioorthogonality
Rapid reaction kinetics (k2) alone do not ensure successful tetrazine ligation in living systems. This review introduces ‘effective orthogonality’—focusing on chemical survival, availability, and encounter—as a practical framework. We highlight how bottlenecks shift from cellular sinks to in vivo delivery limits, offering design strategies for reliable
Junhyeong Yim +3 more
wiley +1 more source
Dynamic heuristic set selection for cross-domain selection hyper-heuristics [PDF]
Selection hyper-heuristics have proven to be effective in solving various real-world problems. Hyper-heuristics differ from traditional heuristic approaches in that they explore a heuristic space rather than a solution space.
Pillay, Nelishia, Hassan, Ahmed
core +1 more source
Robotic Mobile Fulfillment Systems (RMFS) are an example of warehouse automation. Nonetheless, the complexity of RMFS is such that tackling the entire problem at once is unfeasible. So, this work focuses on a component known as the Pod Allocation Problem
Maria Torcoroma Benavides-Robles +3 more
doaj +1 more source
An Ant Colony based Hyper-Heuristic Approach for the Set Covering Problem
The Set Covering Problem (SCP) is a NP-hard combinatorial optimization problem that is challenging for meta-heuristic algorithms. In the optimization literature, several approaches using meta-heuristics have been developed to tackle the SCP and the ...
Alexandre Silvestre FERREIRA +2 more
doaj +1 more source
Abstract Our knowledge of the immune system continues to expand at a rapid pace, and this coupled with technological advances now enables us to interrogate both the breadth and the depth of the immune response at levels without precedent. This has also facilitated rapidly integrating some of this carefully vetted knowledge into clinical practice ...
Aaruni Khanolkar, Aisha Ahmed
wiley +1 more source
ABSTRACT This study explores incidental learning among physicians navigating uncertainty during the COVID‐19 pandemic. Using a constructivist research design, we conducted a literature review of 13 empirical studies on incidental learning in complexity and analyzed critical incident interviews with 12 emergency medicine and intensive care physicians ...
Henriette Lundgren +4 more
wiley +1 more source
Offline Learning for Sequence-based Selection Hyper-heuristics
This thesis is concerned with finding solutions to discrete NP-hard problems. Such problems occur in a wide range of real-world applications, such as bin packing, industrial flow shop problems, determining Boolean satisfiability, the traveling salesman ...
W Yates (21866708)
core

