Details

Autor(en) / Beteiligte

• Wang, Ruo-Bin
• Yin, Shuo
• Wang, Wei-Feng
• An, Zhi-Wei
• Xu, Lin
• Ni, Shaoquan
• Chen, Chi-Hua
• Favorskaya, Margarita
• Chu, Shu-Chuan
• Wu, Tsu-Yang

Titel

An Improved Arithmetic Optimization Algorithm with a Strategy Balancing Exploration and Exploitation

Ist Teil von

• Advances in Smart Vehicular Technology, Transportation, Communication and Applications, p.283-292

Ort / Verlag

Singapore: Springer Singapore

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• With the increasing complexity and difficulty of practical problems, higher requirements are put forward to optimization techniques, especially the improvement on reliability and performance of meta-heuristic algorithm. In this paper, an improved arithmetic optimization algorithm (IAOA) is proposed, and it is compared with two algorithms—particle swarm optimization (PSO) and arithmetic optimization algorithm (AOA) on 13 benchmark functions. Experimental results show that the proposed algorithm performed better than the compared algorithms in solving particle problems in most cases.