This paper focuses on the effect of population diversity to environment identification-based memory scheme (EI-MMS) which heuristically compensates population diversity through the storage and retrieving process of hi...
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This paper focuses on the effect of population diversity to environment identification-based memory scheme (EI-MMS) which heuristically compensates population diversity through the storage and retrieving process of historic *** introduced several diversity compensation measures and combined them with EI-MMS based univariate marginal distributionalgorithm(UMDA) from two ***,a basic diversity compensation measure was used to fight against the inherent diversity loss of ***,two environment-triggered compensation measures were added in the sense of dynamic *** on the experimental results on three dynamic test problems,the dynamics of population diversity of the corresponding EI-MMS based UMDAs were analyzed and several conclusions about how does the population diversity affect the performance of the algorithm in dynamic environments were drawn.
In a recent paper, the authors introduced the notion of sample width for binary classifiers defined on the set of real numbers. It was shown that the performance of such classifiers could be quantified in terms of thi...
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ISBN:
(纸本)9781467359009
In a recent paper, the authors introduced the notion of sample width for binary classifiers defined on the set of real numbers. It was shown that the performance of such classifiers could be quantified in terms of this sample width. This paper considers how to adapt the idea of sample width so that it can be applied in cases where the classifiers are defined on some finite metric space. We discuss how to employ a greedy set-covering heuristic to bound generalization error. Then, by relating the learning problem to one involving certain graphtheoretic parameters, we obtain generalization error bounds that depend on the sample width and on measures of ‘density' of the underlying metric space.
In recent years,outpatient scheduling problem has attracted much *** paper considers the outpatient scheduling problem as an extension of the flexible job shop scheduling problem（FJSP）,where the patient is considere...
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In recent years,outpatient scheduling problem has attracted much *** paper considers the outpatient scheduling problem as an extension of the flexible job shop scheduling problem（FJSP）,where the patient is considered as a ***,to solve the outpatient scheduling problem,a hybrid imperialist competitive algorithm（HICA） is *** the proposed algorithm,the simulated annealing（SA） algorithm and estimation of distribution algorithm（EDA） are embedded to improve the quality of the ***,the two realistic constraints,i.e.,switching time and preparation time of patients are also considered to make the problem closer to the ***,to verify the performance of the proposed HICA,different outpatient scheduling problem instances are randomly generated and used for simulation *** efficient algorithms,including imperialist competitive algorithm（ICA）,improved genetic algorithm（IGA）,EDA,and modified artificial immune algorithm（MAIA）,are selected for detailed *** simulation results confirm that the proposed algorithm can solve the outpatient scheduling problem with high efficiency.
With the current level of pollution in atmosphere caused by fossil fuel emissions, coupled with the ominous fuel scarcity, efficient generation at the power stations is necessary. This paper proposes a multi-objective...
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ISBN:
(纸本)9781509023219
With the current level of pollution in atmosphere caused by fossil fuel emissions, coupled with the ominous fuel scarcity, efficient generation at the power stations is necessary. This paper proposes a multi-objective optimization model to maximize social welfare using the Bees Foraging algorithm (BFA) and estimation of distribution algorithm (EDA) highlighting the importance of treating generator efficiency parameters along with generation bid. This is because the generator bids alone are a poor representation of efficiency, being influenced by economic attitudes. Along with Economic Load Dispatch (ELD), the model reduces fossil fuel emissions and increases the efficiency of operating generators through curtailment to shift the operating point of generators to a more efficient region, while maintaining constraints of the system. The generation side curtailment is reflected on distribution side, where curtailment schemes based on the willingness to pay of the consumer and priority based incentive is used, thereby performing environmental dispatch. The improved efficiency reduces fuel consumption per MW thereby reducing fuel cost (Rs/h) and emission (ton/h), therefore maintaining generation efficiency with profit retention. The paper therefore establish that Independent System Operator (ISO), by real-time control of incentives and curtailment, encourage efficient consumption pattern among consumers and production among generating companies (GENCO). The results confirm that the proposed model benefits the society i.e. consumers, power producers and the environment.
It poses high requirements for the calculation speed and the precision of the solving method when we consider the large-scale transmission expansion planning (TEP) problems. Therefore, combined with the respective cha...
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It poses high requirements for the calculation speed and the precision of the solving method when we consider the large-scale transmission expansion planning (TEP) problems. Therefore, combined with the respective characteristics of EDA (distribution of estimationalgorithm) and DE (Differential Evolution algorithm), this paper puts forward a new hybrid EDA/DE algorithm for large-scale TEP problems. Meanwhile, it improves the updating mechanism of probabilistic model of EDA based on the characteristics of the TEP problems. Considering the investments of grid company, the new energy incentive politics and network security constraints, this paper proposes a multi-objective static planning model for the TEP considering wind power penetration, which takes the comprehensive cost, the wind curtailment and the risk value into consideration. Finally, a specific example is applied in this paper to verify the applicability and effectiveness of the proposed model and algorithm.
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