Results 71 to 80 of about 140,910 (288)
The Flexible Group Spatial Keyword Query
We present a new class of service for location based social networks, called the Flexible Group Spatial Keyword Query, which enables a group of users to collectively find a point of interest (POI) that optimizes an aggregate cost function combining both ...
D Papadias +7 more
core +1 more source
Aerospace Manufacturing Industry: A Simulation-Based Decision Support Framework for the Scheduling of Complex Hoist Lines [PDF]
The hoist scheduling problem is a critical issue in the design and control of Automated Manufacturing Systems. To deal with the major complexities appearing in such problem, this work introduces an advanced simulation model to represent the short-term ...
Basán, Natalia Paola +3 more
core +2 more sources
Simple heuristics for the assembly line worker assignment and balancing problem
We propose simple heuristics for the assembly line worker assignment and balancing problem. This problem typically occurs in assembly lines in sheltered work centers for the disabled.
A. Scholl +22 more
core +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Tractable Pathfinding for the Stochastic On-Time Arrival Problem
We present a new and more efficient technique for computing the route that maximizes the probability of on-time arrival in stochastic networks, also known as the path-based stochastic on-time arrival (SOTA) problem.
BC Dean +13 more
core +1 more source
Performance of Heuristic Priority Rule for Multiskilled Resource-Constrained Scheduling
Nowadays, without a classification system that helps the project manager to decide which heuristic applies when mitigating the multiskilled resource-constrainedscheduling, they must try several of rules until they find one that compares favorably (shortest duration) with the results of the other heuristic priority rules. This
openaire +1 more source
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich +2 more
wiley +1 more source
Fast Task Scheduling With Model Predictive Control Integrating a Priority-Based Heuristic
This paper presents a scalable Model Predictive Control (MPC) algorithm for task scheduling and real time re-scheduling. The use case motivating the work is given by the problem of managing the integration activities involved in the final assembly of the
Francesco Liberati +3 more
doaj +1 more source
Introduction to the multi-skilled resource constrained multi project and multi type scheduling problem [PDF]
In this paper, we extend the multi-skilled resource-constrained multi-project scheduling problem (MSRCMPSP) by introducing the concept of multiple project types (MSRCMPMTSP). The study considers two categories of projects: investment projects, which
Yasemin Arici +3 more
doaj +1 more source
ETIC and EMIC views of early childhood education in Singapore [PDF]
Well-qualified women in Singapore working in professional fields including banking and marketing have many views about early childhood education for their own children as well as in general.
Geoghegan, Deborah, Geoghegan, Noel
core

