dor_id: 45772

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/157/154

100.1.#.a: Lu, Chun Liang; Chiu, Shih Yuan; Hsu, Chih Hsu; Yen, Shi Jim

524.#.#.a: Lu, Chun Liang, et al. (2014). Enhanced Differential Evolution Based on Adaptive Mutation and Wrapper Local Search Strategies for Global Optimization Problems. Journal of Applied Research and Technology; Vol. 12 Núm. 6. Recuperado de https://repositorio.unam.mx/contenidos/45772

245.1.0.a: Enhanced Differential Evolution Based on Adaptive Mutation and Wrapper Local Search Strategies for Global Optimization Problems

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-12-01

653.#.#.a: Differential Evolution; Wrapper Local Search; Particle Segment Operation-Machine Assignment; Flexible Job-shop Scheduling Problem

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/157

001.#.#.#: 074.oai:ojs2.localhost:article/157

041.#.7.h: eng

520.3.#.a: Differential evolution (DE) is a simple, powerful optimization algorithm, which has been widely used in many areas.However, the choices of the best mutation and search strategies are difficult for the specific issues. To alleviate thesedrawbacks and enhance the performance of DE, in this paper, the hybrid framework based on the adaptive mutationand Wrapper Local Search (WLS) schemes, is proposed to improve searching ability to efficiently guide the evolutionof the population toward the global optimum. Furthermore, the effective particle encoding representation namedParticle Segment Operation-Machine Assignment (PSOMA) that we previously published is applied to always producefeasible candidate solutions for solving the Flexible Job-shop Scheduling Problem (FJSP). Experiments wereconducted on comprehensive set of complex benchmarks including the unimodal, multimodal and hybrid compositionfunction, to validate performance of the proposed method and to compare with other state-of-the art DE variants suchas jDE, JADE, MDE_pBX etc. Meanwhile, the hybrid DE model incorporating PSOMA is used to solve differentrepresentative instances based on practical data for multi-objective FJSP verifications. Simulation results indicate thatthe proposed method performs better for the majority of the single-objective scalable benchmark functions in terms ofthe solution accuracy and convergence rate. In addition, the wide range of Pareto-optimal solutions and more Ganttchart decision-makings can be provided for the multi-objective FJSP combinatorial optimizations.

773.1.#.t: Journal of Applied Research and Technology; Vol. 12 Núm. 6

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(14)71672-4

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

_deleted_conflicts: 2-e2b270f237298bc76da7b1b3f4781280

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