# 群體智慧期中報告 * M093040061 劉景翔 --- ## Chaos Game Optimization Authors: Siamak Talatahari, Mahdi Azizi Artifcial Intelligence Review --- ## Chaos Game  ---- ## Chaos Game  --- ## Methodology  ---- ## Methodology  --- ## Psuedo Code  ---- ## Psuedo Code  --- ## Experiments * PSO: in = 0.5, lb = 2.0, gb = 2.0 * DE: mu_rate=0.5 * CGO: parameter free! * 300000 evaluations per run, average of 30 runs * best of 10, 30, 100 population size ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  ---- ## Experimental Results  --- ## Conclusion * Well-Designed Cheater --- # Q&A * code on https://github.com/D0656146/heuristic --- ## population size | Algo | Ackley | Rastrigin | Sphere | Rosenbrock | Michalewicz | | ---- | ------ | --------- | ------ | ---------- | ----------- | | PSO | 100 | 100 | 10 | 10 | 100 | | DE | 30 | 100 | 30 | 30 | 100 | | CGO | 30 | 30 | 30 | 30 | 30 |