The problem of minimum-cost expansion of power transmission network is formulated as a genetic algorithm with the cost of new lines and security constraints and Kirchhoff’s Law at each bus bar included. A genetic algorithm (GA) is a search or optimization algorithm based on the mechanics of natural selection and genetics. An applied example is presented. The results from a set of tests carried ...

We describe an efficient iterative improvement procedure for row-based cell placement with special emphasis on the objective function used to model net lengths. Two new net models are introduced and we prove theoretically that the net models are accurate approximations of the widely used half perimeter of a rectangle enclosing all pins of a net. In addition, unlike the half perimeter model, our...

For large industrial applications the constraint-based formulation of scheduling problems fits better than mathematical representations from Operational Research, because the constraint approach is more flexible and can be adapted more easily to organizational changes in the production. However, the search for a good solution for realistic applications can be very expensive and furthermore, in ...

In this paper we introduce a sequential block iterative method and its simultaneous version with op-timal combination of weights (instead of convex combination) for solving convex feasibility problems.When the intersection of the given family of convex sets is nonempty, it is shown that any sequencegenerated by the given algorithms converges to a feasible point. Additionally for linear feasibil...

it is well known that if the coefficient matrix in a linear system is large and sparse or sometimes not readily available, then iterative solvers may become the only choice. the block solvers are an attractive class of iterative solvers for solving linear systems with multiple right-hand sides. in general, the block solvers are more suitable for dense systems with preconditioner. in this paper,...

In this paper, three iterative improvement methods, simulated annealing, genetic algorithm and tabu search, are proposed to search for solutions to network planning problems. Then, a brief summary of the heuristic methods, single-stage optimization methods, time-phased optimization methods, artificial intelligence techniques and iterative improvement methods are presented. Finally, the performa...