Hybrid PSO and DE approach for dynamic economic dispatch with non-smooth cost functions

Chung, T.S.; Lau, T.W.

doi:10.1504/ijmic.2009.030078

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…In DE, each individual of the population will undergo evolutionary operation, the good ones will be kept, and then the fast evolution will be realised. In recent years, DE algorithm and its improved algorithms have been widely applied in the scheduling problems (Andreas, 2008;Godfrey and Donald, 2006;Vasna and Raju, 2007;Chung and Lau, 2009;Han et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Time-window-based combined objective DE algorithm for hybrid flow-shop

Han

Shi

Yao

2014

IJMIC

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Abstract:In this paper, a time-window-based hybrid flow-shop scheduling model is presented for manufacturing enterprise for solving production scheduling optimisation problem in the rolling production process. Time window deviation sum and the earliness/tardiness (E/T) penalty sum's optimisation goal are modelled, and differential evolution (DE) global optimisation algorithm is used to conduct the global optimisation. The assigned tasks to determine a job's machining path in the time window frame can be finished in each stage. The hybrid flow-shop scheduling optimisation method based on time window can improve the equipment utilisation and reduce scheduling conflict situations. Our time-window-based hybrid flow-shop scheduling optimisation method is evaluated by multiple sets of programs' numerical analysis, and the results show that the proposed approach can meet the requirement of business rolling production scheduling very well.

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Section: Introductionmentioning

confidence: 99%

Time-window-based combined objective DE algorithm for hybrid flow-shop

Han

Shi

Yao

2014

IJMIC

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“…Due to its simplicity, easy implementation and quick convergence, DE algorithm has gained much attention and a wide range of successful applications (Abouel Ela et al, 2009;Chung and Lau, 2009). In recent years, DE algorithm and its improved algorithms have been applied much more in the scheduling problems (Andreas, 2008;Godfrey and Donald, 2006).…”

Section: Introductionmentioning

confidence: 99%

Multiple rules decision-based DE solution for the earliness-tardiness case of hybrid flow-shop scheduling problem

Han

Shi

Qiao

et al. 2012

IJMIC

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Abstract:The earliness/tardiness (E/T) case of hybrid flow-shop scheduling problem (HFSP) is an NP hard problem, which is difficult to deal with; however, the existence of the multi-rules relating to the practical production increases the complexity of this problem. How to solve the combinatorial optimisation problem effectively and optimally is still an open issue today. In this paper, the joint scheduling strategy of differential evolution (DE) algorithm and factor space-based multiple rules decision method is used to solve this E/T scheduling problem. Firstly, DE algorithm is used to make global assignment and obtain each job's process route. Secondly, factor space method is used to describe the scheduling rules in production process; then a scheduling decision method based on variable weight comprehensive function is considered to figure out the jobs' operating priority in buffer area during the local production assignment between stages; subsequently the starting time of each job can be determined. Finally, under the constraints of the due-date and multiple production rules, the global optimisation with the minimal penalty sum of E/T is obtained. Several scheme comparisons with experiment results show the effectiveness of the proposed method.

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A bacterial foraging PSO — DE algorithm for solving reserve constrained Dynamic Economic Dispatch problem

Vaisakh

Praveena

Rao

2011

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)

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Hybrid PSO and DE approach for dynamic economic dispatch with non-smooth cost functions

Cited by 6 publications

References 4 publications

Time-window-based combined objective DE algorithm for hybrid flow-shop

Time-window-based combined objective DE algorithm for hybrid flow-shop

Multiple rules decision-based DE solution for the earliness-tardiness case of hybrid flow-shop scheduling problem

A bacterial foraging PSO — DE algorithm for solving reserve constrained Dynamic Economic Dispatch problem

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Hybrid PSO and DE approach for dynamic economic dispatch with non-smooth cost functions

Cited by 6 publications

References 4 publications

Time-window-based combined objective DE algorithm for hybrid flow-shop

Time-window-based combined objective DE algorithm for hybrid flow-shop

Multiple rules decision-based DE solution for the earliness-tardiness case of hybrid flow-shop scheduling problem

A bacterial foraging PSO &#x2014; DE algorithm for solving reserve constrained Dynamic Economic Dispatch problem

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A bacterial foraging PSO — DE algorithm for solving reserve constrained Dynamic Economic Dispatch problem