Results 91 to 100 of about 225,952 (299)
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Ingeniare: Revista Chilena de Ingeniería, 2011 En este estudio se propone e implementa computacionalmente un algoritmo genético secuencial para resolver el problema del Job Shop Flexible (existente en la Gestión de Operaciones), el cual es parte de la familia de los problemas de programación de ...
Rosa Medina Durán +2 more
doaj
IEEE Access, 2019 This paper addresses the energy-efficient scheduling and real-time control of flexible job shop that requires rescheduling affected operations and updating the scheduling. For energy-efficient scheduling shop floor efficiently, we propose a metaheuristic
Songling Tian +3 more
doaj +1 more source
Photon Avalanching Nanoparticles: The Next Generation of Upconverting Nanomaterials?
Advanced Functional Materials, EarlyView.This Perspective outlines the mechanistic foundations that enable photon‐avalanche (PA) behavior in lanthanide nanomaterials and contrasts them with emerging application spaces and forward‐looking design strategies. By bridging threshold engineering, energy‐transfer dynamics, and materials engineering, we provide a coherent roadmap for advancing the ...
Kimoon Lee +7 more
wiley +1 more source
Comparative study of heuristics algorithms in solving flexible job shop scheduling problem with condition based maintenance [PDF]
, 2014 Purpose: This paper focuses on a classic optimization problem in operations research, the flexible job shop scheduling problem (FJSP), to discuss the method to deal with uncertainty in a manufacturing system. Design/methodology/approach: In this paper,
Lian, Lian, Mesghouni, Khaled
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Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries
Advanced Functional Materials, EarlyView.Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu +4 more
wiley +1 more source
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
Advanced Functional Materials, EarlyView.MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
A Hybrid Algorithm for Flexible Job-Shop Scheduling Problem
Procedia Engineering, 2011 Abstract By combining the chaos particle swarm optimization with genetic algorithm, a hybrid algorithm is proposed in this paper. A novel initialization method is proposed based on the improved Kacem assignments scheme. And according to the characteristic of flexible job-shop scheduling problem, genetic operators are presented.
Tang, Jianchao +3 more
openaire +1 more source
Job Shop Scheduling with Routing Flexibility and Sequence-Dependent Setup Times [PDF]
This paper presents a meta-heuristic algorithm for solving a job shop scheduling problem involving both sequence dependent setup-times and the possibility of selecting alternative routes among the available machines. The proposed strategy is a variant of
Cesta, Amedeo +3 more
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Modelli e algoritmi di routing non lineare per l'integrazione planning-scheduling in produzione [PDF]
, 2016 Questo lavoro di tesi propone un algoritmo ACO (Ant Colony Optimization) per risolvere il problema di integrazione del ciclo di lavorazione (produzione) con lo scheduling dell’impianto produttivo (Multimode Flexible Job Shop Problem).
BRONTE, ALESSANDRO
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