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The p-xylene (PX) oxidation process is of great industrial importance because of the strong global polyester fiber demand. Usually, the optimization of operating conditions for this process is specified in terms of the combustion loss caused by the side reactions. When the optimization objective only refers to the economical performance of the p-xylene oxidation process, the product of the side reactions...
Accelerating Genetic Algorithm (AGA)'s disadvantages of unable to search the optimal solution when the solution is in the boundary of feasible region was proved through theoretical analysis and numerical experimentation. The solution of adding random individuals whose variable obeying to saddle distribution into initial population to increase the ability of searching the optimal solution in the boundary...
The power required to drive the Hybrid electric generated by combination of internal combustion engine and electric motor. To make the power train of the hybrid electric vehicle as efficient as possible, proper management of the different energy elements is essential. This task is completed by the hybrid electric vehicle control strategy. A genetic-fuzzy control strategy is proposed for Hybrid electric...
This paper proposes an emotional harmony composition system using a series of predefined rules and interactive genetic algorithm. Two kinds of rules are defined: One is harmony composition rules used for composing harmony and the other is harmony emotion rules which may indicate the mapping between harmonic elements and a specific emotion of either happiness or sadness. Interactive genetic algorithm...
This paper presents a new fuzzy chance-constrained programming model to find the Pareto solution set for multiproject and multi-item investment combination based on the perspective of real options. The proposed 0-1 integer programming model has two objectives subject to fuzzy cash supply chain constraint conditions, and the escalating GA will be employed to solve the above optimization model with...
Genetic algorithm is a efficient way to solve the logistics-related problem, the mathematic model is analyzed and the key technology of building simulation model in eM-Plant is researched in this paper, and also the build-in genetic algorithm of optimizing module is used to optimize picking system based on the eM-Plant simulation model, which can assure the scientific decision.
Critical path analysis can be a good tool when scheduling the tasks with pre-determined. Typically there are multiple kinds of resource and each has different cost and limitation in the progress of the projects. Current existent formal methods seemed to be weak in scheduling the tasks in such large projects. Genetic algorithm has been proposed to optimize the scheduling with resource constrains. They...
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