Jun Yu and hideyuki Takagi, Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-basec election Strategy, 8th International Conference on Swarm Intelligence, Fukuoka, Japan, pp 477-484 ( uly 27-August 1, 2017) 爆炸振幅递减策略 ) if FEcur <c A max Others exploitation exploration Anax:最大的爆炸幅度 Ear:当前已评价的 fitness数 FE:最大的 fitness/h数 ★ ★ ★ C常数 FEcur 2C* FEmar maximum amplitude gradually reduced amplitude unchanged 不论烟花个体的 fitness6优劣,他们的爆炸振幅逐次递减 注:烟花个体产生的花火数量依然由他们的 fitnessE适应地决定爆炸振幅递减策略 不论烟花个体的fitness的优劣，他们的爆炸振幅逐次递减 𝐴𝑖 = ቐ 𝐴𝑚𝑎𝑥 ∗ 1 − 𝐹𝐸𝑐𝑢𝑟 𝐹𝐸𝑚𝑎𝑥 , 𝑖𝑓 𝐹𝐸𝑐𝑢𝑟 < 𝑐 ∗ 𝐹𝐸𝑚𝑎𝑥 𝐴𝑚𝑎𝑥 ∗ 1 − 𝑐 , 𝑂𝑡ℎ𝑒𝑟𝑠 𝐴𝑚𝑎𝑥 : 最大的爆炸幅度 𝐹𝐸𝑐𝑢𝑟 : 当前已评价的fitness次数. 𝐹𝐸𝑚𝑎𝑥 : 最大的fitness次数. 𝑐: 常数 注：烟花个体产生的花火数量依然由他们的fitness自适应地决定 exploitation → exploration Jun Yu and Hideyuki Takagi, "Acceleration for Fireworks Algorithm Based on Amplitude Reduction Strategy and Local Optima-based Selection Strategy," 8th International Conference on Swarm Intelligence, Fukuoka, Japan, pp.477-484 (July 27 - August 1, 2017)