On the public citation graph

A Knowledge- and Learning-Driven Variable Neighborhood Search for Mixed-Model Two-Sided Assembly Line Balancing Considering Preventive Maintenance Scenarios

https://doi.org/10.2139/ssrn.5083129
0 signed · 59 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10845-013-0770-xopenalex-snapshot
A late acceptance hill-climbing algorithm for balancing two-sided assembly lines with multiple constraints
inferredcites →https://doi.org/10.1007/s12293-020-00319-0openalex-snapshot
Local search methods for type I mixed-model two-sided assembly line balancing problems
inferredcites →https://doi.org/10.1016/j.asoc.2021.107513openalex-snapshot
A robust MILP and gene expression programming based on heuristic rules for mixed-model multi-manned assembly line balancing
inferredcites →https://doi.org/10.1016/j.asoc.2021.107773openalex-snapshot
Integration of balancing and preventive maintenance in straight and U-shaped resource-dependent assembly lines: MILP model and memetic algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2022.108947openalex-snapshot
Optimization of an auto drum fashioned brake using the elite opposition-based learning and chaotic k-best gravitational search strategy based grey wolf optimizer algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2022.109138openalex-snapshot
Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories
inferredcites →https://doi.org/10.1016/j.asoc.2022.109341openalex-snapshot
Mixed-model assembly line balancing problem considering preventive maintenance scenarios: MILP model and cooperative co-evolutionary algorithm
inferredcites →https://doi.org/10.1016/j.asoc.2023.110658openalex-snapshot
A Reinforcement Learning-Artificial Bee Colony algorithm for Flexible Job-shop Scheduling Problem with Lot Streaming
inferredcites →https://doi.org/10.1016/j.asoc.2024.111306openalex-snapshot
Meta-heuristic Algorithms for Double Roman Domination Problem
inferredcites →https://doi.org/10.1016/j.asoc.2024.111507openalex-snapshot
Multi-objective simulated annealing algorithm for robotic mixed-model two-sided assembly line balancing with setup times and multiple constraints
inferredcites →https://doi.org/10.1016/j.cie.2008.11.012openalex-snapshot
Balancing of mixed-model two-sided assembly lines
inferredcites →https://doi.org/10.1016/j.cie.2019.106121openalex-snapshot
An effective artificial fish swarm optimization algorithm for two-sided assembly line balancing problems
inferredcites →https://doi.org/10.1016/j.cie.2020.106420openalex-snapshot
A reduced variable neighborhood search-based hyperheuristic for the shelf space allocation problem
inferredcites →https://doi.org/10.1016/j.cie.2020.106778openalex-snapshot
A self-learning genetic algorithm based on reinforcement learning for flexible job-shop scheduling problem
inferredcites →https://doi.org/10.1016/j.cie.2023.109428openalex-snapshot
Improved multi-objective artificial bee colony algorithm for parallel machine lot-streaming scheduling problem with limited and unequal sub-lots
inferredcites →https://doi.org/10.1016/j.cie.2023.109776openalex-snapshot
Solving human-robot collaborative mixed-model two-sided assembly line balancing using multi-objective discrete artificial bee colony algorithm
inferredcites →https://doi.org/10.1016/j.cor.2017.03.002openalex-snapshot
Comprehensive review and evaluation of heuristics and meta-heuristics for two-sided assembly line balancing problem
inferredcites →https://doi.org/10.1016/j.cor.2023.106221openalex-snapshot
Variable Neighborhood Search: The power of change and simplicity
inferredcites →https://doi.org/10.1016/j.ejor.2016.07.012openalex-snapshot
The late acceptance Hill-Climbing heuristic
inferredcites →https://doi.org/10.1016/j.ejor.2020.11.016openalex-snapshot
Performance indicators in multiobjective optimization
inferredcites →https://doi.org/10.1016/j.ejor.2022.01.037openalex-snapshot
A dynamic “predict, then optimize” preventive maintenance approach using operational intervention data
inferredcites →https://doi.org/10.1016/j.ejor.2022.03.054openalex-snapshot
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
inferredcites →https://doi.org/10.1016/j.engappai.2021.104183openalex-snapshot
Solving multi-objective model of assembly line balancing considering preventive maintenance scenarios using heuristic and grey wolf optimizer algorithm
inferredcites →https://doi.org/10.1016/j.engappai.2021.104593openalex-snapshot
An improved preference-based variable neighborhood search algorithm with ar-dominance for assembly line balancing considering preventive maintenance scenarios
inferredcites →https://doi.org/10.1016/j.engappai.2022.105417openalex-snapshot
Robust assembly line balancing problem considering preventive maintenance scenarios with interval processing time
inferredcites →https://doi.org/10.1016/j.engstruct.2024.118252openalex-snapshot
Multiobjective optimization of bridge and viaduct design: Comparative study of metaheuristics and parameter calibration
inferredcites →https://doi.org/10.1016/j.eswa.2023.121050openalex-snapshot
A Q-learning-based hyper-heuristic evolutionary algorithm for the distributed flexible job-shop scheduling problem with crane transportation
inferredcites →https://doi.org/10.1016/j.eswa.2023.121221openalex-snapshot
A multi-objective co-evolutionary algorithm for energy and cost-oriented mixed-model assembly line balancing with multi-skilled workers
inferredcites →https://doi.org/10.1016/j.eswa.2024.125690openalex-snapshot
A Q-learning-based multi-population algorithm for multi-objective distributed heterogeneous assembly no-idle flowshop scheduling with batch delivery
inferredcites →https://doi.org/10.1016/j.ijpe.2018.08.009openalex-snapshot
Balancing of mixed-model two-sided assembly lines with underground workstations: A mathematical model and ant colony optimization algorithm
inferredcites →https://doi.org/10.1016/j.ijpe.2022.108673openalex-snapshot
Hybridizations in line balancing problems: A comprehensive review on new trends and formulations
inferredcites →https://doi.org/10.1016/j.ijpe.2024.109207openalex-snapshot
Balancing and scheduling of assembly line with multi-type collaborative robots
inferredcites →https://doi.org/10.1016/j.jmsy.2021.02.019openalex-snapshot
Optimisation of mixed-model assembly line balancing problem under uncertain demand
inferredcites →https://doi.org/10.1016/j.neucom.2024.128720openalex-snapshot
Integrating reinforcement learning and supervisory control theory for optimal directed control of discrete-event systems
inferredcites →https://doi.org/10.1016/j.swevo.2021.101021openalex-snapshot
An improved multi-objective multifactorial evolutionary algorithm for assembly line balancing problem considering regular production and preventive maintenance scenarios
inferredcites →https://doi.org/10.1016/j.swevo.2023.101255openalex-snapshot
Robust mixed-model assembly line balancing and sequencing problem considering preventive maintenance scenarios with interval processing times
inferredcites →https://doi.org/10.1016/j.swevo.2023.101338openalex-snapshot
A novel Q-learning based variable neighborhood iterative search algorithm for solving disassembly line scheduling problems
inferredcites →https://doi.org/10.1016/j.swevo.2023.101358openalex-snapshot
Ensemble meta-heuristics and Q-learning for solving unmanned surface vessels scheduling problems
inferredcites →https://doi.org/10.1016/j.swevo.2024.101515openalex-snapshot
Dominance relation selection and angle-based distribution evaluation for many-objective evolutionary algorithm
inferredcites →https://doi.org/10.1016/j.swevo.2024.101559openalex-snapshot
An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems
inferredcites →https://doi.org/10.1080/00207543.2019.1683255openalex-snapshot
Modelling and solving mixed-model two-sided assembly line balancing problem with sequence-dependent setup time
inferredcites →https://doi.org/10.1080/00207543.2020.1804639openalex-snapshot
An enhanced multi-objective JAYA algorithm for U-shaped assembly line balancing considering preventive maintenance scenarios
inferredcites →https://doi.org/10.1080/00207543.2021.1901152openalex-snapshot
Combinatorial Benders decomposition for mixed-model two-sided assembly line balancing problem
inferredcites →https://doi.org/10.1080/00207543.2024.2320707openalex-snapshot
Constructing modified variable neighborhood search approaches to solve a nurse scheduling problem
inferredcites →https://doi.org/10.1080/00207543.2024.2356627openalex-snapshot
Balancing parallel assembly lines with human-robot collaboration: problem definition, mathematical model and tabu search approach
inferredcites →https://doi.org/10.1109/access.2020.2972619openalex-snapshot
An Improved Lexicographical Whale Optimization Algorithm for the Type-II Assembly Line Balancing Problem Considering Preventive Maintenance Scenarios
inferredcites →https://doi.org/10.1109/mci.2024.3363970openalex-snapshot
Genetic Programming and Reinforcement Learning on Learning Heuristics for Dynamic Scheduling: A Preliminary Comparison
inferredcites →https://doi.org/10.1109/tase.2019.2945717openalex-snapshot
A Knowledge-Based Cuckoo Search Algorithm to Schedule a Flexible Job Shop With Sequencing Flexibility
inferredcites →https://doi.org/10.1109/tcyb.2016.2630722openalex-snapshot
Sequence-Based Deterministic Initialization for Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/tcyb.2020.3025662openalex-snapshot
A Two-Stage Cooperative Evolutionary Algorithm With Problem-Specific Knowledge for Energy-Efficient Scheduling of No-Wait Flow-Shop Problem
inferredcites →https://doi.org/10.1109/tcyb.2022.3164165openalex-snapshot
Solving Biobjective Distributed Flow-Shop Scheduling Problems With Lot-Streaming Using an Improved Jaya Algorithm
inferredcites →https://doi.org/10.1109/tcyb.2022.3196887openalex-snapshot
Multitask Multiobjective Genetic Programming for Automated Scheduling Heuristic Learning in Dynamic Flexible Job-Shop Scheduling
inferredcites →https://doi.org/10.1109/tevc.2021.3106168openalex-snapshot
A Cooperative Memetic Algorithm With Learning-Based Agent for Energy-Aware Distributed Hybrid Flow-Shop Scheduling
inferredcites →https://doi.org/10.1109/tevc.2023.3256183openalex-snapshot
Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems
inferredcites →https://doi.org/10.1109/tevc.2023.3278132openalex-snapshot
Knowledge Learning for Evolutionary Computation
inferredcites →https://doi.org/10.1109/tii.2021.3051896openalex-snapshot
Flexible Worker Allocation in Aircraft Final Assembly Line Using Multiobjective Evolutionary Algorithms
inferredcites →https://doi.org/10.1109/tsmc.2015.2465961openalex-snapshot
Production and Maintenance Policies for an EPQ Model With Perfect Repair, Rework, Free-Repair Warranty, and Preventive Maintenance
inferredcites →https://doi.org/10.1109/tsmc.2016.2598685openalex-snapshot
Multiobjective Program and Hybrid Imperialist Competitive Algorithm for the Mixed-Model Two-Sided Assembly Lines Subject to Multiple Constraints
inferredcites →https://doi.org/10.1109/tsmc.2024.3358383openalex-snapshot
An Iterative Greedy Algorithm With Q -Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.