Title :
Modified Differential Evolution for Dynamic Optimization Problems
Author :
Liqiang, Jiang ; Hongfu, Qiang
Author_Institution :
Second Artillery Eng. Coll., Xian, China
Abstract :
Modified differential evolution algorithm (MDE) is proposed for dynamic optimization problems. The new algorithm divides the population into two, a main subpopulation and an assistant one. The main subpopulation keeps invariant and searches locally. The assistant subpopulatioin is re-initialized at random and searches globally. The results show that MDE can track the changing extreme promptly and accurately and is capable of efficiently solving dynamic optmization problems.
Keywords :
evolutionary computation; MDE; assistant subpopulatioin; dynamic optimization problems; main subpopulation; modified differential evolution algorithm; Algorithm design and analysis; Evolutionary computation; Heuristic algorithms; Measurement; Optimization; Testing; Vectors; Differential evolution; dynamic optimization problems; subpopulation;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.647
