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In order to deal with the defects of the poor convergences and easily immerging in partial minimum frequently, a new algorithm is proposed based on the combination of genetic algorithm and BP neural network, which is called GA- BP algorithm. This algorithm is applied to optimization of initial weights of BP Network, the structure and learn rule. It searches through the total solution space and can...
A new simulated annealing genetic algorithm (SAGA) is presented to solve a NP-hard combinatorial optimization problem called Mixed-Polarity Reed-Muller (MPRM) expressions minimization. Since genetic algorithm (GA) is easily trapped to a local optimum and simulated annealing algorithm (SAA) has the limitation of poor convergence, a method incorporating annealing process into genetic operations is presented...
In genetic algorithm (GA), 2-opt, a local search mechanism, is often used as as mutation operation for solving Traveling Salesman Problems (TSPs). The 2-opt mutation exchanges some edges of parents to generate new children. However, the operation of random edge inversion destroys some good edges in later convergence process. To solve this problem, an adaptive 2-opt operation is proposed. The probability...
The investment and size of Hydraulic structures is usually huge and its working conditions are complex. If the optimization techniques are applied, the project investment can be effective economized, the period can be shorted. Thus the Economic and social benefits exerted in advance. In the paper, after the Defects of the optimization method and applications defects in the hydraulic structures, the...
The job shop scheduling problem with multiple objectives is a research hotspot. In this paper, a multi-objective orthogonal genetic algorithm(MOOGA) was proposed to solve this problem. MOOGA integrated the orthogonal design method into the crossover operator, which could generate both outstanding and evenly distributed filial individuals, and improve the efficiency of the algorithm. A fitness calculating...
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