Title :
The intelligence mind evolutionary algorithm based on difference
Author :
Guo, Hongge ; Xie, Keming
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., Taiyuan, China
Abstract :
In order to add population diversity, The intelligence mind evolutionary algorithm (IMEA) based on difference is presented. It uses difference information of subpopulations to share social information and comparing fitness to consideration. The improved algorithm makes mind evolutionary algorithm(MEA) perfect in theory and achieves the best balance between the searching velocity and global convergence in practice. Optimum experiments by the testing functions show the effectiveness and feasibility of the IMEA.
Keywords :
artificial intelligence; evolutionary computation; search problems; IMEA; global convergence; intelligence mind evolutionary algorithm; mind evolutionary algorithm; population diversity; social information sharing; testing functions; Convergence; Educational institutions; Evolution (biology); Evolutionary computation; History; Humans; Optimization; Difference; Mind evolutionary algorithm; Sharing social information;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244208
