An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation

An Improved S-Metric Selection Evolutionary Multi-Objective Algorithm With Adaptive Resource Allocation

One of the main disadvantages of evolutionary multi-objective algorithms (EMOAs) based on hypervolume is the computational cost of the hypervolume computation. This deficiency gets worse either when an EMOA calculates the hypervolume several times or when it is dealing with problems having more than...

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Bibliographic Details
Main Authors: Adriana Menchaca-Mendez, Elizabeth Montero, Saul Zapotecas-Martinez
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Evolutionary multi-objective algorithms
indicator-based EMOAs
hypervolume indicator
Online Access:https://ieeexplore.ieee.org/document/8502038/

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