Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem (2020)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.5220/0008937004630474
- Subjects: ALGORITMOS GENÉTICOS; OTIMIZAÇÃO COMBINATÓRIA
- Keywords: Job Shop Scheduling Problem; Transgenic Operator
- Language: Inglês
- Imprenta:
- Publisher: SciTePress
- Publisher place: Lisboa
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International Conference on Agents and Artificial Intelligence - ICAART
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
VIANA, Monique Simplicio e MORANDIN JUNIOR, Orides e CONTRERAS, Rodrigo Colnago. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. 2020, Anais.. Lisboa: SciTePress, 2020. Disponível em: https://doi.org/10.5220/0008937004630474. Acesso em: 05 out. 2024. -
APA
Viana, M. S., Morandin Junior, O., & Contreras, R. C. (2020). Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem. In Proceedings. Lisboa: SciTePress. doi:10.5220/0008937004630474 -
NLM
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.5220/0008937004630474 -
Vancouver
Viana MS, Morandin Junior O, Contreras RC. Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem [Internet]. Proceedings. 2020 ;[citado 2024 out. 05 ] Available from: https://doi.org/10.5220/0008937004630474 - CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms
- An improved local search genetic algorithm with multi-crossover for job shop scheduling problem
- Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC
- A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem
- Introducing the Discrete Path Transform (DPT) and its applications insignal analysis, artefact removal, and spoken word recognition
- A new frequency analysis operator for population improvement in genetic algorithms to solve the job shop scheduling problem
- An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem
- A new local search adaptive genetic algorithm for the pseudo-coloring problem
- NE-Motion: visual analysis of stroke patients using motion sensor networks
- A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems
Informações sobre o DOI: 10.5220/0008937004630474 (Fonte: oaDOI API)
Download do texto completo
Tipo | Nome | Link | |
---|---|---|---|
2995121.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas