Title :
Glowworm Swarm Optimization Algorithm for Solving Multi-objective Optimization Problem
Author :
He Deng-Xu ; Liu Gui-Qing ; Zhu Hua-Zheng
Author_Institution :
Sch. of Assoc. of Southeast Asian Nations, Guangxi Univ. for Nat., Nanning, China
Abstract :
The glowworm swarm optimization algorithm is used to solve multi-objective optimization problem (MOP-GSO). It is shown by simulation that, MOP-GSO algorithm is effective to solve multi-objective optimization. Compared with NSGA2, it is better in term of the spread of the solutions.
Keywords :
genetic algorithms; particle swarm optimisation; MOP-GSO algorithm; NSGA2; glowworm swarm optimization algorithm; multiobjective optimization problem; nondominated sorting genetic algorithm; Algorithm design and analysis; Educational institutions; Heuristic algorithms; Optimization; Particle swarm optimization; Sociology; Statistics; GSO; glowworm swarm optimization; multi-objective optimization; swarm intelligence;
Conference_Titel :
Computational Intelligence and Security (CIS), 2013 9th International Conference on
Conference_Location :
Leshan
Print_ISBN :
978-1-4799-2548-3
DOI :
10.1109/CIS.2013.10
