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Surrogate modelling based optimization algorithms have been regarded as a powerful tool for solving expensive-to-evaluate functions, and numerous successful applications on optimization problems from various fields have been reported in literature. However, little effort has been devoted to solve complex combinatorial optimization problems through surrogate modelling, since evaluation for solutions...
In order to solve steelmaking-continuous casting scheduling problem which is considered as a critical module of planning and scheduling in modern iron and steel enterprise, this paper propose a data-based evolutionary algorithm. Firstly, a mixed integer programming model considering practical constraints and multi-objectives is provided. Secondly, we develop a modified estimation of distribution algorithm...
As the data collection volumes growing rapidly, some complex computation are beyond the ability of our classical process methods. A framework combine between MapReduce and workflow can present a good contribution to this problem through parallel processing for the large-scale systems. Currently there are several researches on the scheduling policy for this combination framework in homogeneous cluster...
Prediction of machine breakdowns and lot product qualities plays an important role in scheduling of semiconductor manufacturing lines because accurate state of machines and lot are a key prerequisite for good scheduling. The difficulties in modeling result from the datum with high dimensions and stochastic noise that are brought inevitably in actual environment. This paper presents a novel prediction...
It's an basic requirement in cloud computing that scheduling virtual resources to physical resources with balance load, however, the simple scheduling methods can not meet this requirement. This paper proposed a virtual resources scheduling model and solved it by advanced Non-dominated Sorting Genetic Algorithm II (NSGA II). This model was evaluated by balance load, virtual resources and physical...
In wireless mesh networks with frequency-agile radios, an algorithm of dynamically combining consecutive channels has recently been proposed. However, the available channel widths are limited in the algorithm. In order to further improve the fairness or the throughput under given fairness, we propose a joint variable width spectrum allocation and link scheduling optimization algorithm. Our algorithm...
Most production planning and scheduling applications are complex combination optimization in nature. Genetic Algorithm (GA), Simulated Annealing Algorithm (SAA) and Optimum Individual Protecting Algorithm (OIPA) have application limitations due to their performance in global convergence, population precocity and convergence speed, which make them not suitable for workshop daily operation planning...
A hybrid genetic algorithm based on synthetical level of resource conflict for solving complex construction project scheduling problems is proposed, which combines rules-based heuristic with genetic algorithm based on synthetical level of resource conflict, which is used to guide the code, crossover and mutation of genetic algorithm. Also, Researches are made in these aspects such as decomposition...
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