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This paper aims at achieving global optimal solution of complex problems, such as traveling salesman problem (TSP), using extended version of real coded genetic algorithms (RCGA). Since genetic algorithm (GA) consists of several genetic operators, namely selection procedure, crossover, and mutation operators, that offers the choice to be modified in order to improve the performance for particular...
This paper presents an integrated approach for composite transmission expansion planning incorporating: (i) computationally efficient linear matrices, (ii) a novel Demand/Energy Not Served (DNS/ENS) and Generation Not Served (GNS) calculation approach, to circumvent the time intensive iterative procedures. A self-tuning mechanism based on stochastic Roulette Wheel (RW) simulation procedure supports...
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