23 papers · ranked by Valyu relevance
Arsha Ali, Dawn M. Tilbury, Lionel Robert
In human-robot teams where agents collaborate together, there needs to be a clear allocation of tasks to agents. Task allocation can aid in achieving the presumed benefits of humanrobot teams, such as improved team performance. Many task allocation methods have been proposed that include factors such as agent…
Nidhika Chauhan, Navneet Kaur, Kamaljit Singh Saini, Sahil Verma + 4 more
'Abdulatif Alabdulatif' 'Ruba Abu Khurma' 'M. G. Arenas' 'Pedro Á. Castillo'] Abstract: As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance…
Kun Li, Shengling Wang, Hongwei Shi, Xiuzhen Cheng + 1 more
—Spatial crowdsourcing (SC) engages large worker pools for location-based tasks, attracting growing research interest. However, prior SC task allocation approaches exhibit limitations in computational efficiency, balanced matching, and participation incentives. To address these challenges, we propose a graph-based…
Helen Harman, Elizabeth I. Sklar
Multi-agent task allocation methods seek to distribute a set of tasks fairly amongst a set of agents. In real-world settings, such as soft fruit farms, human labourers undertake harvesting tasks. The harvesting workforce is typically organised by farm manager(s) who assign workers to the fields that are ready to be…
Maite Puerta-Beldarrain, Oihane Gómez-Carmona, Liming Chen, Diego López-de-Ipiña + 3 more
'Diego López-de-Ipiña' 'Diego Casado-Mansilla' 'Felipe Vergara-Borge' 'Antonio J. Jara'] This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial…
CM Lynch, RC Wilson, A Dornhaus
Division of labor, a key feature of many complex systems, requires a mechanism that allows individuals to choose tasks. The popular ‘response threshold hypothesis’ posits that some workers start engaging in particular tasks at a lower level of need than others. However, individuals may only have access to information…
Guang Fang
Job scheduling in cloud computing environments is a critical yet complex problem. Cloud computing user job requirements are highly dynamic and uncertain, while cloud computing resources are heterogeneous and constrained. This paper studies the online resource allocation problem for elastic computing jobs with soft…
Jing Liu, Fangfei Li, Xin Jin, Yang Tang
Optimization Approach Authors: ['Jing Liu' 'Fangfei Li' 'Xin Jin' 'Yang Tang'] Abstract— This paper investigates dynamic task allocation for multi-agent systems (MASs) under resource constraints, with a focus on maximizing the global utility of agents while ensuring a conflict-free allocation of targets. We present a…
Prasanta Kumar Bal, Sudhir Kumar Mohapatra, Tapan Kumar Das, Kathiravan Srinivasan + 3 more
'Kathiravan Srinivasan' 'Yuh-Chung Hu' 'Robert Hsu' 'Naveen Chilamkurti'] The rapid growth of cloud computing environment with many clients ranging from personal users to big corporate or business houses has become a challenge for cloud organizations to handle the massive volume of data and various resources in the…
Dominik Weikert, Christoph Steup, Sanaz Mostaghim, Raffaele Bruno
The Internet of Things (IoT) has been an area of growing research interest for decades. Task allocation is an important problem for the optimized operation of Internet-of-Things networks. This paper provides an overview of recent research in the field of Internet-of-Things task allocation optimization. First, the task…
WeiWei Du, XiaoWei Chen
As task diversity and inter-task relationship complexity grow, optimal formation power allocation is key to improving task execution efficiency. This paper proposes a task optimization allocation method with multiple groups collaboration, constructing a task network based on analysis of task static characteristics and…
A. Ramesh, B. Taborsky
Division of labour is a key feature of cooperative social systems, where task specialization among individuals enhances group efficiency. In the cooperatively breeding cichlid Neolamprologus pulcher reproductive division of labour exists, where a dominant breeding pair reproduces while subordinates help in rearing the…
Nathalie Liegel, Daniel Schneider, Edmund Wascher, Stefan Arnau
Most neuroscientific studies investigating mental effort apply unspecific effort allocation paradigms. In contrast, the present EEG study targets specific effort allocation during task prioritization. Twenty-eight participants performed a cued number classification task during the retention interval of a working memory…
Sujay N. Hegde, D. B. Srinivas, M. A. Rajan, Sita Rani + 2 more
'Aman Kataria' 'Hong Min'] Grid computing emerged as a powerful computing domain for running large-scale parallel applications. Scheduling computationally intensive parallel applications such as scientific, commercial etc., computational grids is a NP-complete problem. Many researchers have proposed several task…
Ivan Tomić, Rodrigo Raimundo, Paul M. Bays
Humans and other animals prioritise visual processing of stimuli that signal rewards. While prior research has focused on tangible incentives (e.g., money or food), the effects of intrinsic incentives – such as perceived competence – are less well understood. Across a series of visual estimation experiments, we…
Devesh Kumar Srivastava, Pradeep Kumar Tiwari, Mayank Srivastava, Babu R. Dawadi
'Babu R. Dawadi'] One of the important and challenging tasks in cloud computing is to obtain the usefulness of cloud by implementing several specifications for our needs, to meet the present growing demands, and to minimize energy consumption as much as possible and ensure proper utilization of computing resources. An…
Ivan Tomić, Rodrigo Raimundo, Paul M. Bays
Humans and other animals prioritise visual processing of stimuli that signal rewards. While prior research has focused on tangible incentives (e.g., money or food), the effects of intrinsic incentives – such as perceived competence – are less well understood. Across a series of visual estimation experiments, we…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Chuanchao Gao, Arvind Easwaran
Mobile Edge Computing (MEC) has emerged as a promising paradigm enabling vehicles to handle computation-intensive and timesensitive applications for intelligent transportation. Due to the limited resources in MEC, effective resource management is crucial for improving system performance. While existing studies mostly…
Authors not listed
For applications in gas sensing, purification, and capture, we often wish to search a large set of metal-organic frameworks (MOFs) for the top-K in terms of their Henry coefficient of an adsorbate. A molecular simulation to predict the Henry coefficient of a MOF constitutes a Monte Carlo integration where each sample…
Authors not listed
This paper presents GLAS (Git-based Lab Automated Scheduler or Get Lab Automation Simplified), an open-source, robust, and highly expandable Git-based architecture designed for laboratory automation. GLAS can be deployed in both partially and fully automated experimental science laboratories, enabling the development…
Authors not listed
This work establishes theoretical foundations for hierarchical quantum-classical algorithm design, where complex problems are decomposed across multiple spatial, temporal, or organizational scales with quantum and classical computation assigned to appropriate levels. We develop a mathematical framework that…
Authors not listed
Background: Pharmaceutical batch scheduling in multi-reactor configurations presents complex optimization challenges under operational uncertainty, yet limited research addresses how parallel processing capacity affects heuristic performance and predictive modeling. Objectives: This study investigated scheduling…