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Aiming at the flexible job-shop scheduling problem, the mathematical model was established with the objective of minimizing the makespan, and an improved genetic algorithm using opposition-based learning was proposed. For the characteristics of flexible job-shop scheduling, a dual chains structure coding method was used to encode the chromosome. Population was initialized with a hybrid scheme. Genetic...
With the rise of video surveillance applications for analyzing real-time and batching video data in large scales, traditional video processing systems are being challenged due to real-time, intelligence and fault-tolerance demand for networked high resolution and large-scale video processing. These challenges can be further exacerbated by the existing predicaments of multi-platform, multi-format,...
In order to solve the deceptive and pre-maturity problem of genetic algorithm, we combined plant growth simulation algorithm with genetic algorithm, so a new hybrid genetic algorithm occurred. Because of the searching way is better both in direction and randomness balance, which decided by plant hormone in plant growth simulation algorithm, so the deceptive problem of genetic algorithm is well settled...
As an essential lifeline engineering system, water distribution network should provide enough water to maintain people’s life after earthquake in addition to working under daily operation. However, the design of water distribution network usually ignores the influence of earthquake, resulting in water stoppage in large area during many recent strong earthquakes. This study introduced a seismic design...
When user chooses route, the travel time and travel time reliability are the most important factors under demand and supply uncertainty. It supposes travel time and travel demand following the normal distribution, setups the bi-objective bilevel programming model of travel time and travel time reliability considering travel demand variation and link capacity degradable. As the lower level problem...
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