(Enter summary)
Abstract: Multi-objective evolutionary algorithms which use non-dominated sorting and sharing have been mainly criticized for their (i) O(MN s)
computational complexity (where M is the number of objectives and N is the population size), (ii) non-elitism approach, and (iii) the need
for specifying a sharing parameter. In this paper, we suggest a non-dominated sorting based multi-objective evolutionary algorithm (we
called it the Non-dominated Sorting GA-II or NSGA-II) which alleviates all the above three... (Update)
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BibTeX entry: (Update)
Deb, K., Pratap, A., Agrawal, S. and Meyarivan, T. (2000). A fast and elitist multiobjective genetic algorithm: NSGA-II. Technical Report No. 2000001. Kanpur: Indian Institute of Technology Kanpur, India. http://citeseer.ist.psu.edu/article/deb00fast.html More
@inproceedings{ deb00fast,
author = "Kalyanmoy Deb and Samir Agrawal and Amrit Pratab and T. Meyarivan",
title = "A {F}ast {E}litist {N}on-{D}ominated {S}orting {G}enetic {A}lgorithm for {M}ulti-{O}bjective {O}ptimization: {NSGA-{II}}",
booktitle = "Proceedings of the Parallel Problem Solving from Nature {VI} Conference",
publisher = "Springer. Lecture Notes in Computer Science No. 1917",
address = "Paris, France",
editor = "Marc Schoenauer and Kalyanmoy Deb and G{\"u}nter Rudolph and Xin Yao and Evelyne Lutton and J. J. Merelo and Hans-Paul Schwefel",
pages = "849--858",
year = "2000",
url = "citeseer.ist.psu.edu/article/deb00fast.html" }
Citations (may not include all citations):
162
Genetic algorithms for multi-objective optimization: Formula..
- Fonseca, Fleming - 1993
148
An investigation of niche and species formation in genetic f.. (context) - Deb, Goldberg - 1989
142
Multiple objective optimization with vector evaluated geneti.. (context) - Schaffer - 1987
127
A niched Pareto genetic algorithm for multi-objective optimi..
- Horn, Nafploitis et al. - 1994
104
Evolutionary algorithms for multiobjective optimization: Met..
- Zitzler - 1999
99
Comparison of multiobjective evolutionary algorithms: Empiri..
- Zitzler, Deb et al. - 2000
67
Multiobjective optimization and multiple constraint handling..
- Fonseca, Fleming - 1998
49
The Pareto archived evolution strategy: A new baseline algor..
- Knowles, Corne - 1999
44
Multi-objective genetic algorithms: Problem difficulties and..
- Deb - 1999
42
Messy genetic algorithms: Motivation, analysis, and first re.. (context) - Goldberg, Korb et al. - 1989
39
Simulated binary crossover for continuous search space
- Deb, Agrawal - 1995
38
A variant of evolution strategies for vector optimization
- Kursawe - 1990
36
Multiobjective optimization using evolutionary algorithms--A..
- Zitzler, Thiele - 1998
36
the performance assessment and comparison of stochastic mult.. (context) - Fonseca, Fleming - 1996
33
Multi-Objective function optimization using non-dominated so.. (context) - Srinivas, Deb - 1995
28
Learning gene linkage to efficiently solve problems of bound..
- Harik
18
An efficient constraint handling method for genetic algorith..
- Deb
16
Multiobjective evolutionary algorithms: Classifications, ana..
- Van Veldhuizen - 1999
12
Hybrid GA for multi-objective aerodynamic shape optimization (context) - Poloni - 1997
10
Multiobjective evolutionary algorithm research: A history an..
- Van Veldhuizen, Lamont
8
Understanding interactions among genetic algorithm parameter..
- Deb, Agrawal - 1998
6
Multiobjective design optimization by an evolutionary algori.. (context) - Ray, Chye
4
Evolutionary search under partially ordered sets (context) - Rudolph
1
CA-based decision support system for multi-criteria optimiza.. (context) - Tanaka - 1995
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