Results 71 to 80 of about 2,311,919 (246)
An application of immune genetic algorithm for flexible job-shop scheduling problem
The flexible job-shop scheduling problem (FJSP) is one of the most general and difficult of all traditional scheduling problem. The paper presents a novelty immune genetic algorithm (IGA) to solve the problem.
null Yunlong Zhu +5 more
core +1 more source
Progressive Parkinsonism in PPP2R5D‐Related Neurodevelopmental Disorder
ABSTRACT PPP2R5D‐related neurodevelopmental disorder (Houge–Janssens syndrome type 1) is a rare autosomal dominant condition characterized by macrocephaly, intellectual disability, and epilepsy. Progressive parkinsonism is an emerging adult phenotype that neurologists should be aware of since timely genetic diagnosis opens the door to disease‐modifying
Katerina Bernardi +6 more
wiley +1 more source
Over the past 50 years, the science of pediatric rheumatology has grown exponentially due to an expansion in the understanding of complex rheumatic conditions and a surge in novel targeted therapeutics. Physician‐scientists in the field of pediatric rheumatology have played major roles in these advancements that have improved the care of children ...
Ekemini A. Ogbu +2 more
wiley +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source
Better approximation guarantees for job-shop scheduling [PDF]
Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein and Wein presented the first polynomial-time approximation algorithm for this problem that has a good (polylogarithmic) approximation guarantee.
Paterson, Michael S. +3 more
core
A Predictive-reactive Approach for JSP with Uncertain Processing Times [PDF]
The paper is supported by the Asia-Link project funded by the European Commission (CN/ASIA-LINK/024 (109093)), the National Natural Science Foundation of China (50705076, 50705077), and the National Hi-Tech R&D Program of China (2007AA04Z187)JSP with ...
NIU, Ganggang +3 more
core
A multi objective collaborative reinforcement learning algorithm for flexible job shop scheduling
To improve the scheduling efficiency of flexible job shops, this paper proposes a multi-objective collaborative intelligent agent reinforcement learning algorithm based on weight distribution.
Jian Li, Shifa Li, Pengbo He, Huankun Li
doaj +1 more source
En el presente artículo se aborda el problema Flexible Job Shop Scheduling (FJSSP) con restricciones de transporte, con el objetivo de minimizar el makespan realizando la secuenciación y asignación de máquinas. Se llevó a cabo una revisión bibliográfica
Tatiana Andrea Castillo Jaimes +4 more
doaj +1 more source
GenAI job scheduling system for solving a flexible job shop scheduling problem
Abstract Generative artificial intelligence (GenAI) applications in job scheduling are expected to help schedulers embed their requirements into scheduling models in a more user-friendly way to generate customized scheduling results.
Toly Chen, Min-Chi Chiu, Hsin-Chieh Wu
openaire +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source

