Title : 
Evolutionary Swarm Algorithm Based on Evolutionary Swarm Model
         
        
            Author : 
Quan, Haiyan ; Shi, Xinling
         
        
            Author_Institution : 
Fac. of Inf. & Autom. 1, Yunnan Univ., Kunming, China
         
        
        
        
        
        
        
            Abstract : 
The paper introduces an evolution swarm model that clearly demonstrates many intelligent algorithms. Based on the model, an evolutionary swarm algorithm is designed. In this work, the evolutionary swarm algorithm is tested with 5 multivariable benchmark functions. The simulation results show that the algorithm possesses an excellent performance in the global optimization, and can be efficiently employed to solve the multimodal function optimization for the multimodal function with high dimensionality.
         
        
            Keywords : 
evolutionary computation; optimisation; evolutionary swarm algorithm; evolutionary swarm model; multimodal function optimization; multivariable benchmark function; simulation result; Algorithm design and analysis; Ant colony optimization; Automation; Design optimization; Intelligent systems; Paper technology; Particle swarm optimization; Process design; Stochastic processes; Testing; evolution algorithm; evolutionary swarm algorithm; evolutionary swarm model; swarm algorithm;
         
        
        
        
            Conference_Titel : 
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
         
        
            Conference_Location : 
Xiamen
         
        
            Print_ISBN : 
978-0-7695-3571-5
         
        
        
            DOI : 
10.1109/GCIS.2009.34