Title :
A hybrid social emotional optimization algorithm with Metropolis rule
Author :
Wu, Jianna ; Cui, Zhihua ; Liu, Jing
Author_Institution :
Complex Syst. & Comput. Intell. Lab., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
Social emotional optimization algorithm (SEOA) is a novel swarm intelligent population-based optimization algorithm by simulating the human social behaviors. However, it´s diversity is decreased increased when solving high-dimensional multi-modal optimization problems. Therefore, in this paper, a new hybrid SEOA with Metropolis rule is introduced to enhance the exploration capability. To test the performance, five famous benchmarks are selected, and compared with the standard version with different dimensions. Simulation results show this hybrid algorithm can increase the global search capability significantly.
Keywords :
behavioural sciences computing; optimisation; social sciences computing; global search capability; high-dimensional multimodal optimization problem; human social behavior; hybrid social emotional optimization algorithm; metropolis rule; simulating; swarm intelligent population-based optimization algorithm; Benchmark testing; Cultural differences; Decision making; Humans; Indexes; Optimization; Solids;
Conference_Titel :
Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICMIC.2011.5973732
