Simplified Swarm Optimization Visualization, 簡化群體演算法視覺化

SSO (Simplified Swarm Optimization) is proposed by Yeh in 2009 [1]. It is one of the novel swarm intelligence algorithms. It features simplicity, efficiency and flexibility for modification.

X : a solution set which updates every generation. pX : a solution that keeps the best particles ever existed in X. gBest : global best particle from the time begins.

這影片視覺化了SSO更新機制 X是母群體，用來在每一代反覆搜尋用的結構 pBest是 Personal Best的意思，就是每一組解曾經出現過最好的那一代 gBest是 Global Best的意思，指得是歷代全域出現過最好的粒子

[1] Yeh, W.-C. (2009). A two-stage discrete particle swarm optimization for the problem of multiple multi-level redundancy allocation in series systems. Expert Systems with Applications, 36(5), 9192–9200.