Pareto-optimality solution recommendation using a multi-objective artificial wolf-pack algorithm

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Chen, Yi and Wang, Zhonglai and Yang, Erfu and Li, Yun (2016) Pareto-optimality solution recommendation using a multi-objective artificial wolf-pack algorithm. In: The 10th International Conference on Software, Knowledge, Information Management and Application (SKIMA 2016), 2016-12-15 - 2016-12-17, Sichuan Province. (https://doi.org/10.1109/SKIMA.2016.7916207)

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Abstract

In practical applications, multi-objective optimisation is one of the most challenging problems that engineers face. For this, Pareto-optimality is the most widely adopted concept, which is a set of optimal trade-offs between conflicting objectives without committing to a recommendation for decision-making. In this paper, a fast approach to Pareto-optimal solution recommendation is developed. It recommends an optimal ranking for decision-makers using a Pareto reliability index. Further, a mean average precision and a mean standard deviation are utilised to gauge the trend of the evolutionary process. A multi-objective artificial wolf-pack algorithm is thus developed to handle the multi-objective problem using a non-dominated sorting method (MAWNS). This is tested in a case study, where the MAWNS is employed as an optimiser for a widely adopted standard test problem, ZDT6. The results show that the proposed method works valuably for the multi-objective optimisations.

ORCID iDs

Chen, Yi, Wang, Zhonglai, Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950 and Li, Yun;
  • Item type:Conference or Workshop Item(Paper)
    ID code:59503
    Dates:
    Date
    Event
    15 December 2016
    Published
    23 October 2016
    Accepted
    Notes:© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
    Subjects:Technology > Manufactures
    Science > Mathematics > Electronic computers. Computer science
    Department:Faculty of Engineering > Design, Manufacture and Engineering Management
    Depositing user: Pure Administrator
    Date deposited:20 Jan 2017 09:32
    Last modified:18 Dec 2024 01:49
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/59503
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