
Brazilian Archives of Biology and Technology, Journal Year: 2024, Volume and Issue: 67
Published: Jan. 1, 2024
Language: Английский
Brazilian Archives of Biology and Technology, Journal Year: 2024, Volume and Issue: 67
Published: Jan. 1, 2024
Language: Английский
Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126600 - 126600
Published: Jan. 1, 2025
Language: Английский
Citations
1Computers & Operations Research, Journal Year: 2025, Volume and Issue: unknown, P. 106989 - 106989
Published: Jan. 1, 2025
Language: Английский
Citations
0Complex System Modeling and Simulation, Journal Year: 2024, Volume and Issue: 4(2), P. 137 - 165
Published: June 1, 2024
The hybrid flow shop group scheduling problem (HFGSP) with the delivery time windows has been widely studied owing to its better flexibility and suitability for current just-in-time production mode. However, there are several unresolved challenges in modeling algorithmic design tailored HFGSP. In our study, we place emphasis on constraint of timeliness. Therefore, this paper first constructs a mixed integer linear programming model HFGSP sequence-dependent setup minimize total weighted earliness tardiness (TWET). Then penalty groups-assisted iterated greedy integrating idle insertion (PG_IG_ITI) is proposed solve above problem. PG_IG_ITI, double decoding strategy based earliest available machine rule calculate TWET value. Subsequently, reduce amount computation, skip-based destruction reconstruction designed, local search further improve quality solution by disturbing penalized groups, i.e., early tardy groups. Finally, through comprehensive statistical experiments 270 test instances, results prove that algorithm effective compared four state-of-the-art algorithms.
Language: Английский
Citations
3Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 91, P. 101696 - 101696
Published: Aug. 18, 2024
Language: Английский
Citations
2Journal of Industrial and Management Optimization, Journal Year: 2024, Volume and Issue: 20(10), P. 3089 - 3108
Published: Jan. 1, 2024
This paper addresses a no-wait flowshop scheduling problem with total tardiness minimization. We present mixed-integer linear programming formulation positional decision variables and new constraint model to solve the as exact approaches. As an alternative solution procedure, we develop innovative Reactive Iterated Greedy (RIG) algorithm that presents dynamic mechanism adjust number of jobs be removed from current permutation in destruction phase. carried out computational experiments on set 800 test instances available literature evaluate performance proposed RIG comparison five approaches (Mixed-Integer Linear Programming, Constraint Block Simulated Annealing, Variable Neighborhood Descent, Greedy). The used criterion is Relative Deviation Index (RDI). returned average RDI 5.0%, representing best results among procedures under comparison. Computational pointed our proposal outperformed mathematical other metaheuristics statistical significance.
Language: Английский
Citations
1Egyptian Informatics Journal, Journal Year: 2024, Volume and Issue: 28, P. 100566 - 100566
Published: Nov. 11, 2024
Language: Английский
Citations
1Robotics and Computer-Integrated Manufacturing, Journal Year: 2024, Volume and Issue: 88, P. 102747 - 102747
Published: March 2, 2024
Language: Английский
Citations
0Brazilian Archives of Biology and Technology, Journal Year: 2024, Volume and Issue: 67
Published: Jan. 1, 2024
Language: Английский
Citations
0