Modeling and Solving Alternative Financial Solutions Seeking
Emmanuel Frenod (LMBA, INRIA Nancy - Grand Est / IECN / LSIIT / IRMA),, Jean-Philippe Gouigoux (LMBA), Landry Tour\'e (LMBA)

TL;DR
This paper introduces a genetic algorithm-based method for optimizing multi-year budgets in local community finance, enabling decision-makers to select from a range of feasible financial plans with satisfactory results.
Contribution
It presents a novel systemic model of local finances combined with a genetic algorithm to generate acceptable multi-year budgets for decision-making.
Findings
Method performs well on simplified and operational cases
Provides a collection of admissible budgets for decision-makers
Achieves satisfactory optimization results
Abstract
In this paper we build a method to optimize Multi-Year Prospective Budgets. First we present a systemic model of Local Community Finances. Then, from two acceptable Multi-Year Prospective Budgets the method implements a Genetic Algorithm to generate a collection of admissible Multi-Year Prospective Budgets among which Decision-Makers can choose. The method is tested on simplified cases and on in operational situation and gives satisfactory results.
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