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A multi-objective A* search based on non-dominated sorting

conference contribution
posted on 2024-10-31, 18:21 authored by Mohammad Haqqani, Xiaodong LiXiaodong Li, Xinghuo YuXinghuo Yu
This paper present a Non-dominated Sorting based Multi Objective A* Search (NSMOA* ) algorithm for multi-objective search problem. It is an extension of the New Approach for Multi Objective A* Search (NAMOA*). This study aims to improve the selection phase of the NAMOA* algorithm which can affect the performance of the algorithm considerably, especially when the number of non-dominated solutions increases to a large number during the search. This research proposes a new sorting method that allows selection and expansion of the partial solutions be carried out more efficiently. The results demonstrate that our algorithm expands fewer nodes and explores a smaller region of solution space using the same heuristic.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-319-13563-2_20
  2. 2.
    ISSN - Is published in 03029743

Volume

8886

Start page

228

End page

238

Total pages

11

Outlet

Proceedings of the 10th International Conference Simulated Evolution and Learning (SEAL 2014)

Editors

G. Dick; W. N. Browne; P. Whigham; M. Zhang; L. T. Bui; H. Ishibuchi; Y. Jin; X. Li; Y. Shi; P. Singh; K. C. Tan and K. Te

Name of conference

SEAL 2014

Publisher

Springer

Place published

Germany

Start date

2014-12-15

End date

2014-12-18

Language

English

Copyright

© Springer International Publishing Switzerland 2014

Former Identifier

2006051642

Esploro creation date

2020-06-22

Fedora creation date

2015-04-22

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