2301 Differential Evolution as the Global Optimization Technique
Satoshi KITAYAMA, Shinobu SAKAI, Koetsu YAMAZAKI · Sekkei Kougaku, Shisutemu Bumon Kouenkai kouen rombunshuu/Sekkei Kogaku, Shisutemu Bumon Koenkai koen ronbunshu · 2009
In this paper, Differential Evolution (DE) is examined through two aspects. Thus, one is the meta-heuristics, and the other is the global optimization technique. Indeed, DE can find the global minimum through numerical experiments. However, there are no proofs and useful examinations with regard to such comments. In this paper, DE is compared with the Generalized Random Tunneling Algorithm (GRTA) and the Particle Swarm Optimization (PSO), that are the global optimization techniques. Through the examination, some common characteristics as the global optimization technique are clarified in this paper.