Title :
Feed Formula Optimization Method Based on Multi-Objective Particle Swarm Optimization Algorithm
Author :
Zhang Ji-Xin ; Wang Gao-ping
Author_Institution :
Dept. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou, China
Abstract :
In this paper, we set a multi-objective mathematical model for feed formula optimal problem, propose a new MOPSO-based feed formula optimal method. A global selection method of particle and a dominance-principle are presented. Simulation results show that the new algorithm can give us more satisfactory results and a set of solution. A new method for solving complicated problem about feed formula optimization is provided.
Keywords :
particle swarm optimisation; feed formula optimal problem; feed formula optimization method; global selection method; multiobjective mathematical model; multiobjective particle swarm optimization algorithm; Animals; Constraint optimization; Cost function; Feeds; Information science; Mathematical model; Optimization methods; Particle swarm optimization; Productivity; Raw materials;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473663
