Ant Colony Optimization
Multiobjective evolutionary algorithms for electric power dispatch problem
IEEE Transactions on Evolutionary Computation
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Resources update service is a pivotal problem in the construction of learning resources and the development of e-learning. Aiming at this problem, this paper presents a Distributed Push System of Learning Resources (DPSLR). The schedule between servers and users is a M ulti-objective Optimization Problem (MOP ) in this system. We discuss the scheduling model of servers and users, and use an Ant Colony Optimization (ACO) to solve the MOP. We have developed a model to estimate the efficiency of the new resources update service.