Jonrinaldi
Orcid: 0000-0001-6666-2734
According to our database1,
Jonrinaldi
authored at least 32 papers
between 2012 and 2024.
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Bibliography
2024
Hierarchical parallel search with automatic parameter configuration for particle swarm optimization.
Appl. Soft Comput., January, 2024
A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem.
Int. J. Prod. Res., 2024
Expert Syst. Appl., 2024
A reinforcement learning hyper-heuristic algorithm for the distributed flowshops scheduling problem under consideration of emergency order insertion.
Appl. Soft Comput., 2024
2023
A knowledge-driven cooperative scatter search algorithm with reinforcement learning for the distributed blocking flow shop scheduling problem.
Expert Syst. Appl., November, 2023
A knowledge-driven co-evolutionary algorithm assisted by cross-regional interactive learning.
Eng. Appl. Artif. Intell., November, 2023
Appl. Soft Comput., November, 2023
A co-evolutionary migrating birds optimization algorithm based on online learning policy gradient.
Expert Syst. Appl., October, 2023
An improved iterative greedy athm for energy-efficient distributed assembly no-wait flow-shop scheduling problem.
Swarm Evol. Comput., August, 2023
A multi-agent reinforcement learning driven artificial bee colony algorithm with the central controller.
Expert Syst. Appl., June, 2023
A Population-Based Iterated Greedy Algorithm for Distributed Assembly No-Wait Flow-Shop Scheduling Problem.
IEEE Trans. Ind. Informatics, May, 2023
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop scheduling problem.
Int. J. Prod. Res., May, 2023
A knowledge-driven monarch butterfly optimization algorithm with self-learning mechanism.
Appl. Intell., May, 2023
An exploratory landscape analysis driven artificial bee colony algorithm with maximum entropic epistasis.
Appl. Soft Comput., April, 2023
A brain storm optimization algorithm with feature information knowledge and learning mechanism.
Appl. Intell., March, 2023
An estimation of distribution algorithm with multiple intensification strategies for two-stage hybrid flow-shop scheduling problem with sequence-dependent setup time.
Appl. Intell., March, 2023
A cooperative whale optimization algorithm for energy-efficient scheduling of the distributed blocking flow-shop with sequence-dependent setup time.
Comput. Ind. Eng., 2023
2022
Swarm Evol. Comput., 2022
A hybrid cooperative differential evolution assisted by CMA-ES with local search mechanism.
Neural Comput. Appl., 2022
An effective water wave optimization algorithm with problem-specific knowledge for the distributed assembly blocking flow-shop scheduling problem.
Knowl. Based Syst., 2022
A reinforcement learning brain storm optimization algorithm (BSO) with learning mechanism.
Knowl. Based Syst., 2022
A multipopulation cooperative coevolutionary whale optimization algorithm with a two-stage orthogonal learning mechanism.
Knowl. Based Syst., 2022
A discrete learning fruit fly algorithm based on knowledge for the distributed no-wait flow shop scheduling with due windows.
Expert Syst. Appl., 2022
A two-stage cooperative scatter search algorithm with multi-population hierarchical learning mechanism.
Expert Syst. Appl., 2022
A surrogate-assisted Jaya algorithm based on optimal directional guidance and historical learning mechanism.
Eng. Appl. Artif. Intell., 2022
A self-learning hyper-heuristic for the distributed assembly blocking flow shop scheduling problem with total flowtime criterion.
Eng. Appl. Artif. Intell., 2022
A heuristic and meta-heuristic based on problem-specific knowledge for distributed blocking flow-shop scheduling problem with sequence-dependent setup times.
Eng. Appl. Artif. Intell., 2022
An ensemble discrete water wave optimization algorithm for the blocking flow-shop scheduling problem with makespan criterion.
Appl. Intell., 2022
2021
A Novel Cooperative Multi-Stage Hyper-Heuristic for Combination Optimization Problems.
Complex Syst. Model. Simul., 2021
2014
An improved particle swarm optimisation with a linearly decreasing disturbance term for flow shop scheduling with limited buffers.
Int. J. Comput. Integr. Manuf., 2014
An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem.
Comput. Oper. Res., 2014
2012
Polar-Radius-Invariant-Moment Based on Key-Points for Hand Gesture Shape Recognition.
J. Softw., 2012