# Kinetic Market Model: An Evolutionary Algorithm

**Authors:** Evandro Luquini, Nizam Omar

arXiv: 1906.01241 · 2019-06-05

## TL;DR

This paper introduces a kinetic market model based on econophysics as an evolutionary algorithm, providing a new replacement rule for family competition genetic algorithms and a foundation for adding evolvable entities to such models.

## Contribution

It presents a novel application of kinetic market models as evolutionary algorithms with a new replacement rule for genetic algorithms.

## Key findings

- Proposes a new replacement rule for genetic algorithms.
- Establishes a framework for incorporating evolvable entities into kinetic market models.
- Lays groundwork for future enhancements in evolutionary computation using market models.

## Abstract

This research proposes the econophysics kinetic market model as an evolutionary algorithm's instance. The immediate results from this proposal is a new replacement rule for family competition genetic algorithms. It also represents a starting point to adding evolvable entities to kinetic market models.

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/1906.01241/full.md

## References

10 references — full list in the complete paper: https://tomesphere.com/paper/1906.01241/full.md

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Source: https://tomesphere.com/paper/1906.01241