Title :
Intelligent Algorithms for Solving Multiobjective Optimization Problems
Author :
Yi Hong-Xia ; Xiao Liu ; Liu, Xiao
Author_Institution :
Inst. of Electron., Chinese Acad. of Sci., Beijing
Abstract :
This paper presents a comprehensive survey of many evolutionary algorithms for solving multiobjective optimization problems. Four main kinds of multiobjective algorithms (GA, PSO, SA, and AC) have been presented, and their merits and demerits are compared and discussed respectively. Finally, a mix algorithm is suggested as an effective method.
Keywords :
genetic algorithms; particle swarm optimisation; simulated annealing; ant colony algorithm; evolutionary algorithm; genetic algorithm; intelligent algorithm; multiobjective optimization problem; particle swarm optimisation; simulated annealing; Ant colony optimization; Clustering algorithms; Constraint optimization; Distributed computing; Evolutionary computation; Genetic algorithms; Optimization methods; Pareto optimization; Sorting; Space technology;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
DOI :
10.1109/WiCom.2008.3054
