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Parallel Problem Solving from Nature PPSN VI
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
other
Author(s):
Kalyanmoy Deb
,
Samir Agrawal
,
Amrit Pratap
,
T Meyarivan
Publication date
(Print):
2000
Publisher:
Springer Berlin Heidelberg
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Genomic Prediction: Genetic Gain
Author and book information
Book Chapter
Publication date (Print):
2000
Pages
: 849-858
DOI:
10.1007/3-540-45356-3_83
SO-VID:
0d7e49b3-6682-472d-a956-dcfc29ae7094
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Book chapters
pp. 17
Language as a Complex Adaptive System
pp. 29
Cellular Evolutionary Algorithms: Evaluating the Influence of Ratio
pp. 601
Selection and Reinforcement Learning for Combinatorial Optimization
pp. 89
On the Choice of the Mutation Probability for the (1+1) EA
pp. 437
Island Model Cooperating with Speciation for Multimodal Optimization
pp. 611
Ant Colony Optimization for the Total Weighted Tardiness Problem
pp. 767
Expanding from Discrete to Continuous Estimation of Distribution Algorithms: The ID$$ \mathbb{E} $$A
pp. 807
Reaction-Diffusion Model of a Honeybee Colony’s Foraging Behaviour
pp. 839
The Pareto Envelope-Based Selection Algorithm for Multiobjective Optimization
pp. 849
A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimization: NSGA-II
pp. 879
A Hierarchical Genetic Algorithm Using Multiple Models for Optimization
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