Anthropic Principle Algorithm:A new Heuristic Optimization Meth

Authors

  • Elder Oroski Universidade Tecnológica Federal do Paraná (UTFPR), Curitiba, Brazil
  • Beatriz S. Pês Instituto Federal do Paraná (IFPR),Campo Largo, Brazil
  • Rafael H. Lopez Universidade Federal de Santa Catarina (UFSC),Florianópolis, Brazil
  • Adolfo Bauchspiess Universidade de Brasília (UnB), Brasília, Brazil

DOI:

https://doi.org/10.30564/jaeser.v1i1.353

Abstract

Heuristic optimization is an appealing method for solving some en- gineering problems, in which gradient information may not be available, or yet, when the problem presents many minima points. Thus, the goal of this paper is to present a new heuristic algorithm based on the Anthropic Prin- ciple, the Anthropic Principle Algorithm (APA). This algorithm is based on the following idea: the universe developed itself in the exact way to allow the existence of all current things, including life. This idea is very similar to the convergence in an optimization process. Arguing about the merit of the An- thropic Principle is not among the goals of this paper. This principle is treated only as an inspiration for heuristic optimization algorithms. In the final of the paper, some applications of the APA are presented. Classical problems such as Rosenbrock function minimization, system identification examples and min- imization of some benchmark functions are also presented. In order to vali- date the APA’s functionality, a comparison between the APA and the classic heuristic algorithms, Genetic Algorithm (GA) and Particle Swarm Optimiza- tion (PSO) is made. In this comparison, the APA presented better results in majority of tested cases, proving that it has a great potential for application in optimization problems.

Keywords:

Heuristic, Optimization, Anthropic, Principle, System, Identifica- tion

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How to Cite

Oroski, E., Pês, B. S., Lopez, R. H., & Bauchspiess, A. (2018). Anthropic Principle Algorithm:A new Heuristic Optimization Meth. Journal of Architectural Environment & Structural Engineering Research, 1(1), 39–48. https://doi.org/10.30564/jaeser.v1i1.353

Issue

Vol. 1 , Iss. 1 (December 2018)

Article Type

Article

License

Copyright © 2018 Elder Oroski, Beatriz S. Pês, Rafael H. Lopez, Adolfo Bauchspiess

Creative Commons License

This is an open access article under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) License.

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