Central Force Optimization

Zhan-Qiang Qi
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引用次数: 76

Abstract

Central Force Optimization(CFO) is a new deterministic multi-dimensional optimization algorithm based on the metaphor of gravitational kinematics.The probes'positions and accelerations equations are determined using the analogy of particle motion in a gravitational field.In CFO,through the acceleration updates to realize the objective function fitness updates and simulation in physics universal gravitation choose to find the optimal solution of the optimal solution.Introduced is the new optimization algorithm emphatically,and the result of this algorithm is analyzed.Based on this idea,presented is a kind of improved gravity center,and the optimization algorithm for several typical examples of the algorithm is validated,and the results indicate that the algorithm is effective.
中心力优化
中心力优化(CFO)是一种基于重力运动学隐喻的新型确定性多维优化算法。利用引力场中粒子运动的类比来确定探针的位置和加速度方程。在CFO中,通过加速度更新来实现目标函数的适应度更新,并模拟物理中万有引力选择的最优解。着重介绍了一种新的优化算法,并对算法的结果进行了分析。基于这一思想,提出了一种改进的重心优化算法,并对该算法的几个典型算例进行了验证,结果表明该算法是有效的。
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