A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem (2021)
- Authors:
- Autor USP: CONTRERAS, RODRIGO COLNAGO - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-030-87986-0_39
- Subjects: ALGORITMOS GENÉTICOS; COMPUTAÇÃO BIOINSPIRADA; OTIMIZAÇÃO COMBINATÓRIA
- Keywords: Evolutionary Algorithm; Genetic improvement; Job Shop Scheduling Problem
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Lecture Notes in Artificial Intelligence
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 12854, p. 434-450, 2021
- Conference titles: International Conference on Artificial Intelligence and Soft Computing - ICAISC
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VIANA, Monique Simplicio e CONTRERAS, Rodrigo Colnago e MORANDIN JUNIOR, Orides. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87986-0_39. Acesso em: 10 fev. 2026. , 2021 -
APA
Viana, M. S., Contreras, R. C., & Morandin Junior, O. (2021). A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-87986-0_39 -
NLM
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39 -
Vancouver
Viana MS, Contreras RC, Morandin Junior O. A new genetic improvement operator based on frequency analysis for genetic algorithms applied to job shop scheduling problem [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12854 434-450.[citado 2026 fev. 10 ] Available from: https://doi.org/10.1007/978-3-030-87986-0_39 - Predição e análise visual de conjuntos de redes de conexões entre sinais suaves: aplicações em dados médicos de AVC
- An improved local search genetic algorithm with a new mapped adaptive operator applied to pseudo-coloring problem
- An improved local search genetic algorithm with multi-crossover 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
- Transgenic genetic algorithm to minimize the makespan in the job shop scheduling problem
- A new local search adaptive genetic algorithm for the pseudo-coloring problem
- A modified genetic algorithm with local search strategies and multi-crossover operator for Job Shop Scheduling Problem
- CWT x DWT x DTWT x SDTWT: clarifying terminologies and roles of different types of wavelet transforms
- NE-Motion: visual analysis of stroke patients using motion sensor networks
Informações sobre o DOI: 10.1007/978-3-030-87986-0_39 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3238951.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
