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The resource-constrained multi-project scheduling (RCMPS) is a NP-hard problem and has been extensively used in manufacturing and engineering fields. In order to solve scheduling of RCMPS, a new algorithm was presented in this paper. The new algorithm combines the some advantages of ACOA and NN . Finally, the algorithm was tested on a case of the RCMPS and the results were presented in the paper....
This paper presents a hybrid method for solving voltage stability constrained optimal reactive power dispatch (VSCORPD) problem. The objective of VSCOPRD is to minimize the energy loss at the current time interval and the cost of adjusting discrete control devices while maintaining system security and voltage stability constraints within the permissible limits. An artificial neural network is trained...
Introducing the rank-weight method into the basic ant colony optimization (ACO), we use the modified ACO to optimize the weights and thresholds value of neural networks (NN). And when the BPNN is being trained, this method can solve the disadvantages of running into the minimum easily, and enhance the convergence speed. So we get a heuristic method, which is good at time efficiency and derivation...
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