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A typical constrained mixed-integer nonlinear program: truss sizing and shape optimization under multi-loading cases and complex constraints is investigated in this work. A laconic adaptive penalty function is employed to handle the structural stress and local buckling constraints. The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is adopted to update the structural design variables. The...
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...
Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic representation, called Q-bit, to encode individuals in population. Unlike standard evolutionary algorithms, each Q-bit individual is a probability model, which can represent multiple solutions. Since probability models store global statistical...
In this paper, a novel method for the synthesis of shaped-beam antenna arrays by combining matrix resolution with particle swarm optimization (PSO) algorithm is proposed. The amplitude and phase distribution of the antenna array are achieved firstly by matrix resolution, and then the results are used as the initial values of PSO algorithm in the following optimization to obtain a wide angle shaped-beam...
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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