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    • 8. 发明申请
    • ACCELERATING PARTICLE-SWARM ALGORITHMS
    • 加速粒子波动算法
    • US20160125103A1
    • 2016-05-05
    • US14724379
    • 2015-05-28
    • International Business Machines Corporation
    • Michael A. Cracraft
    • G06F17/50G06F17/11
    • G06F17/5009G06N3/006
    • Embodiments of the inventive subject matter include determining a plurality of potential full resolution locations for a particle representation for a second iteration of a particle swarm optimization, wherein the particle representation is associated with both a first full resolution location and a first reduced resolution location for a first iteration of the particle swarm optimization that has not yet completed and the second iteration is later than the first iteration. Embodiments further include determining that the plurality of full resolution locations reduces to a second reduced resolution location for the second iteration. Embodiments further include submitting the second reduced resolution location for fitness calculation prior to the first iteration completing.
    • 本发明的实施例包括确定用于粒子群优化的第二迭代的粒子表示的多个潜在的全分辨率位置,其中所述粒子表示与第一全分辨率位置和第一缩小分辨率位置相关联 尚未完成的粒子群优化的第一次迭代,第二次迭代晚于第一次迭代。 实施例还包括确定多个全分辨率位置减少到用于第二次迭代的第二降低分辨率位置。 实施例还包括在第一迭代完成之前提交用于健身计算的第二缩减分辨率位置。