Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm

Fu, Yaping; Wang, Hongfeng; Tian, Guangdong; Li, Zhiwu; Hu, Hesuan

doi:10.1007/s10845-017-1385-4

Cited by 81 publications

(38 citation statements)

References 47 publications

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“…It can solve the narrow pulse problem and simplify the commutation process. In addition, we demonstrate the effectiveness and superiority of the proposed CCFMT to suppress EMI of TSMC on TSMC experiment platform [30][31][32][33][34][35]. Figure 1 shows the topology of TSMC with 18 switches.…”

Section: Introductionmentioning

confidence: 91%

“…From the perspective of time domain analysis, the PWM pulse is formed by the pulse connection of different switching moments of a certain width [29][30][31][32]. The CCFMT is such that the carrier period changes with the modulation signal, resulting in a change of the switching time; from the perspective of frequency domain analysis, the PWM pulse is composed of discrete harmonics with fixed fundamental amplitude and frequency.…”

Section: Since the Modulation Function Of Phase B Lags The Phase A Bymentioning

confidence: 99%

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Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter

Wang

Yong

et al. 2019

Mathematical Problems in Engineering

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The harmonics of line to line voltage in two-stage matrix converter (TSMC) with fixed carrier frequency had discrete and high values and produced powerful electromagnetic interference (EMI). In this paper, chaotic carrier frequency modulation technique (CCFMT) was applied in TSMC for the first time to spread sideband range and suppress harmonic peak value. Although this technique could suppress EMI, it would increase the probability of narrow pulses. In order to improve reliability, the rectifier in the two-stage matrix converter uses PWM modulation with zero vector to extend the zero current commutation time, solves the narrow pulse problem, and simplifies the commutation process. At last, an experiment platform was designed and experimental results showed that harmonics of line to line voltage was efficiently suppressed.

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Section: Introductionmentioning

confidence: 91%

Section: Since the Modulation Function Of Phase B Lags The Phase A Bymentioning

confidence: 99%

Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter

Wang

Yong

et al. 2019

Mathematical Problems in Engineering

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“…integrate process planning and scheduling problem [29] and network design problem [30]. Comparison results demonstrate its strong ability in searching for a global optimum, which motivates us to choose it as an optimizer for the investigated problem [31,32].…”

Section: The Proposed H-np Methodsmentioning

confidence: 99%

Job scheduling and resource allocation in parallel‐machine system via a hybrid nested partition method

Jiang

Tian

et al. 2018

IEEJ Transactions Elec Engng

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Scheduling problems with resource allocation have received much attention in the academic and industrial communities in recent years. This study addresses a parallel-machine scheduling problem with resource allocation under the objective of minimizing the makespan, where jobs need an additional resource that is allocated to machines in advance. The processing time of jobs is a function of the amount of allocated resources on their corresponding machines. In order to deal with this problem, three decisions must be made, i.e. resource allocation among machines, job assignment on machines, and job sequence on each machine. To solve this problem efficiently, a constructive heuristic approach and a hybrid nested partition method are designed to make these three decisions. Simulation experiments are carried out on a set of instances, and two existing algorithms are chosen to be compared with the proposed algorithms. Experimental results show that the proposed algorithms are promising in coping with this problem.

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“…Here, the MOJSSP aims to find an order to optimize the above two objectives simultaneously. The constraints include each job should be processed on only one machine at a time, each machine can process only one job at a time, and the preemption is not allowed [33].…”

Section: Problem Description and Goalmentioning

confidence: 99%

A Hybrid Machine Learning and Population Knowledge Mining Method to Minimize Makespan and Total Tardiness of Multi-Variety Products

Qiu

Zhang

2019

Applied Sciences

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Nowadays, the production model of many enterprises is multi-variety customized production, and the makespan and total tardiness are the main metrics for enterprises to make production plans. This requires us to develop a more effective production plan promptly with limited resources. Previous research focuses on dispatching rules and algorithms, but the application of the knowledge mining method for multi-variety products is limited. In this paper, a hybrid machine learning and population knowledge mining method to minimize makespan and total tardiness for multi-variety products is proposed. First, through offline machine learning and data mining, attributes of operations are selected to mine the initial population knowledge. Second, an addition–deletion sorting method (ADSM) is proposed to reprioritize operations and then form the rule-based initial population. Finally, the nondominated sorting genetic algorithm II (NSGA-II) hybrid with simulated annealing is used to obtain the Pareto solutions. To evaluate the effectiveness of the proposed method, three other types of initial populations were considered under different iterations and population sizes. The experimental results demonstrate that the new approach has a good performance in solving the multi-variety production planning problems, whether it is the function value or the performance metric of the acquired Pareto solutions.

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Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm

Cited by 81 publications

References 47 publications

Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter

Application Research of Chaotic Carrier Frequency Modulation Technology in Two-Stage Matrix Converter

Job scheduling and resource allocation in parallel‐machine system via a hybrid nested partition method

A Hybrid Machine Learning and Population Knowledge Mining Method to Minimize Makespan and Total Tardiness of Multi-Variety Products

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