Title :
A novel numerical optimization algorithm inspired from cell communication mechanism
Author :
Chuncai Xiao ; Kuangrong Hao ; Yongsheng Ding
Author_Institution :
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Abstract :
Intelligent optimization algorithms have been successfully applied in different fields, and many practical problems have been solved, the economic benefit is increased. In this article, by studying the characteristics of medium transmission between cells and the mode of cell communication, we propose a new global optimization algorithm: cell communication optimization (CCO) combined with global optimization algorithm. The CCO is much simpler and more robust optimization algorithm compared with particle swarm optimization (PSO), improved PSO (IPSO) and fruit fly optimization algorithm (FOA). Six numerical experiment results show that the CCO had excellent global optimization capability and the ability to obtain accurate solution, the convergence precision is much higher than the other three methods.
Keywords :
particle swarm optimisation; FOA; cell communication mechanism; cell communication optimization; fruit fly optimization algorithm; global optimization algorithm; improved PSO; intelligent optimization algorithm; medium transmission; particle swarm optimization; robust optimization algorithm; Algorithm design and analysis; Chemicals; Educational institutions; Manganese; Optimization; Sociology; Statistics; Cell communication mechanism; intelligent computing; numerical benchmark functions; stochastic optimization;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052914