Incremental non-dominated sorting with O(N) insertion for the two-dimensional case

Ilya Yakupov; Maxim Buzdalov

doi:10.1109/CEC.2015.7257112

Incremental non-dominated sorting with O(N) insertion for the two-dimensional case

Ilya Yakupov, Maxim Buzdalov

ITMO University

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

12 Citations (Scopus)

Abstract

We propose a new algorithm for incremental nondominated sorting of two-dimensional points. The data structure which stores non-dominating layers is based on a tree of Cartesian trees. If there are N points in M layers, the running time for of an insertion is O(M(1 + log(N=M)) + log M log(N= log M)), which is O(N) in the worst case. This algorithm can be a basic building block for efficient implementations of steady-state multiobjective algorithms such as NSGA-II.

Original language	English
Title of host publication	2015 IEEE Congress on Evolutionary Computation (CEC)
Subtitle of host publication	Proceedings
Publisher	IEEE Press
Pages	1853-1860
Number of pages	8
ISBN (Electronic)	978-1-4799-7492-4
DOIs	https://doi.org/10.1109/CEC.2015.7257112
Publication status	Published - 14 Sept 2015
Externally published	Yes
Event	IEEE Congress on Evolutionary Computation, CEC 2015 - Sendai, Japan Duration: 25 May 2015 → 28 May 2015

Conference

Conference	IEEE Congress on Evolutionary Computation, CEC 2015
Country/Territory	Japan
City	Sendai
Period	25 May 2015 → 28 May 2015

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abstract = "We propose a new algorithm for incremental nondominated sorting of two-dimensional points. The data structure which stores non-dominating layers is based on a tree of Cartesian trees. If there are N points in M layers, the running time for of an insertion is O(M(1 + log(N=M)) + log M log(N= log M)), which is O(N) in the worst case. This algorithm can be a basic building block for efficient implementations of steady-state multiobjective algorithms such as NSGA-II.",

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AB - We propose a new algorithm for incremental nondominated sorting of two-dimensional points. The data structure which stores non-dominating layers is based on a tree of Cartesian trees. If there are N points in M layers, the running time for of an insertion is O(M(1 + log(N=M)) + log M log(N= log M)), which is O(N) in the worst case. This algorithm can be a basic building block for efficient implementations of steady-state multiobjective algorithms such as NSGA-II.

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T2 - IEEE Congress on Evolutionary Computation, CEC 2015

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ER -

Incremental non-dominated sorting with O(N) insertion for the two-dimensional case

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