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Software . 2020
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Software . 2020
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Codes: Pareto-like Sequential Sampling (PSS) Approach for Global Optimization

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 29 Jan 2020Publisher:Zenodo
Authors: Mahmoud Shaqfa; Katrin Beyer;
Code repository: https://github.com/eesd-epfl/pareto-optimizer/tree/1.0.0

doi: 10.5281/zenodo.3630763 , 10.5281/zenodo.3630764

Codes: Pareto-like Sequential Sampling (PSS) Approach for Global Optimization

Abstract

This repository holds the source code for the new optimization algorithm Pareto-like Sequential Sampling (PSS). C++14, Python3.7, and Octave (Matlab) codes have been provided. This code is part of a published manuscript at Soft Computing journal: Pareto-like sequential sampling heuristic for global optimisation (open access). The full and complete implementation for the algorithm and the benchmarks shall be found in the C++14 version of the algorithm.

Related Organizations
Keywords

evolutionary, global optimization, self-adaptation, online calibration, Pareto principle, online calibration, metaheuristic algorithms

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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