Consumption Loan Planning by Using Memetic Algorithm
| Autor: | Yukiko Orito, Makoto Okamura, Hiroshi Izawa, Grzegorz Mardyla |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Consumption (economics)
Mathematical optimization Optimization problem Heuristic (computer science) Computer science business.industry 0102 computer and information sciences 02 engineering and technology Function (mathematics) 01 natural sciences Estimation of distribution algorithm 010201 computation theory & mathematics 0202 electrical engineering electronic engineering information engineering Memetic algorithm 020201 artificial intelligence & image processing Local search (optimization) Time preference business |
| Zdroj: | Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence. |
| DOI: | 10.1145/3059336.3059343 |
| Popis: | We propose a memetic algorithm to optimize a consumption loan planning in economics. The planning is defined as an optimization problem which maximizes the household's one-year utility function with individual time preferences. Our memetic algorithm consists of an estimation of distribution algorithm for a global search and a heuristic local search for a local search. In the numerical experiments, we show the optimum solution for the consumption loan planning by using the memetic algorithm. From our results, we clarify the differences between the human behavior's solution in economic experiment and the optimum solution. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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