Kinetic Market Model: An Evolutionary Algorithm
arXiv:1906.01241v1
Originality Incremental advance
AI Analysis
This work is incremental, offering a novel method for evolutionary algorithms in computational economics.
The paper proposes using the econophysics kinetic market model as an instance of an evolutionary algorithm, resulting in a new replacement rule for family competition genetic algorithms and enabling evolvable entities in such models.
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.