Sciweavers

Share
EC
2008

Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection

8 years 4 months ago
Multiobjective Immune Algorithm with Nondominated Neighbor-Based Selection
Nondominated Neighbor Immune Algorithm (NNIA) is proposed for multiobjective optimization by using a novel nondominated neighbor-based selection technique, an immune inspired operator, two heuristic search operators, and elitism. The unique selection technique of NNIA only selects minority isolated nondominated individuals in the population. The selected individuals are then cloned proportionally to their crowding-distance values before heuristic search. By using the nondominated neighbor-based selection and proportional cloning, NNIA pays more attention to the less-crowded regions of the current trade-off front. We compare NNIA with NSGA-II, SPEA2, PESA-II, and MISA in solving five DTLZ problems, five ZDT problems and three low-dimensional problems. The statistical analysis based on three performance metrics including the Coverage of two sets, the Convergence metric, and the Spacing, show that the unique selection method is effective, and NNIA is an effective algorithm for solving mu...
Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
Added 10 Dec 2010
Updated 10 Dec 2010
Type Journal
Year 2008
Where EC
Authors Maoguo Gong, Licheng Jiao, Haifeng Du, Liefeng Bo
Comments (0)
books