...数值函数优化; 邻域搜索; 自适应; 非线性函数 [gap=1294]Key words: Artificial Bee Colony (ABC) algorithm; numerical function optimization; neighborhood searching; adaptive; nonlinear function..
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其中,差分演化算法在数值函数优化方面的性能要优于其它的优化算法。
The performance of DE algorithm is superior to other algorithm in numerical function optimization.
最后,用数值优化中的三个测试函数对该算法进行测试,仿真实验结果显示该算法可有效地提高算法的全局搜索能力。
Finally, the algorithm is tested by three test functions of numerical optimization. The emulational experiment results show that this improved algorithm has greater probability of convergence.
经典的粒子群优化算法是一个在连续的定义域内搜索数值函数极值的很有效的方法。
The classical Particle swarm optimization (PSO) algorithm is a powerful method to find the minimum of a numerical function, on a continuous definition domain.
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