Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A Distributed Particle Swarm Optimization Zlgorithmfor Flexible Job-hop Scheduling Problem
Journal of Harbin University of Science and Technology, 2017 According to the characteristics of the Flexible job shop scheduling problem the minimum makespan as measures we proposed a distributed particle swarm optimization algorithm aiming to solve flexible job shop scheduling problem.
LIU Sheng--hui +2 more
doaj +1 more source
Metaheuristic strategies for scheduling problems with uncertainty [PDF]
Scheduling problems have formed an important body of research during the last decades. A scheduling problem consists in scheduling a set of jobs {J1, . . . , Jn} on a set of physical resources or machines {M1, . . . , Mm}.
Palacios Alonso, Juan José
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Efficiency of the solution representations for the hybrid flow shop scheduling problem with makespan objective [PDF]
, 2019 In this paper we address the classical hybrid flow shop scheduling problem with makespan objective. As this problem is known to be NP-hard and a very common layout in real-life manufacturing scenarios, many studies have been proposed in the literature to
Fernández-Viagas Escudero, Víctor +2 more
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A Scalable Perovskite Platform With Multi‐State Photoresponsivity for In‐Sensor Saliency Detection
Advanced Materials, EarlyView.A scalable in‐sensor computing platform (32 × 32 array) with ultra‐low variability is developed by incorporating ferroelectric copolymers into halide perovskite thin films. These devices achieve 1000 programmable photoresponsivity states and high thermal reliability.
Xuechao Xing +10 more
wiley +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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Advanced Materials Technologies, EarlyView.The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
An Improved Genetic Algorithm for Solving the Multi-AGV Flexible Job Shop Scheduling Problem. [PDF]
Sensors (Basel), 2023 Meng L +5 more
europepmc +1 more source
An efficient memetic algorithm for the flexible job shop with setup times [PDF]
This paper addresses the flexible job shop scheduling problem with sequence-dependent setup times (SDSTFJSP). This is an extension of the classical job shop scheduling problem with many applications in real production environments.
González Fernández, Miguel Ángel +2 more
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New efficient constructive heuristics for the hybrid flowshop to minimise makespan: A computational evaluation of heuristics [PDF]
, 2018 This paper addresses the hybrid flow shop scheduling problem to minimise makespan, a well-known scheduling problem for which many constructive heuristics have been proposed in the literature. Nevertheless, the state of the art is not clear due to partial
Fernández-Viagas Escudero, Víctor +2 more
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