An improved NSGA-II to solve multi-objective optimization problem

NSGA-II(nondominated sorting genetic algorithm II) is a popular multi-objective evolution algorithm (MOEA), which applies binary tournament selection, elitist preserving strategy, nondominated sorting and crowding distance mechanism to obtain a good quality and uniform spread nondominated solution s...

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Bibliographic Details
Published in:Chinese Control and Decision Conference pp. 1037 - 1040
Main Authors: Yaping Fu, Min Huang, Hongfeng Wang, Guanjie Jiang
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2014
Subjects:
Evolutionary computation
Genetic algorithms
Local search acceptance with probability
Measurement
Multi-objective evolution algorithm
Nondominated sorting genetic algorithm
Optimization
Sociology
Sorting
Statistics
ISBN:147993707X, 9781479937073
ISSN:1948-9439
Online Access:Get full text
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