Mendez, E.; Ortiz, A.; Ponce, P.; Molina, A. A Novel Geo-Inspired Earthquake Optimization Algorithm. Preprints2018, 2018090182. https://doi.org/10.20944/preprints201809.0182.v1
APA Style
Mendez, E., Ortiz, A., Ponce, P., & Molina, A. (2018). A Novel Geo-Inspired Earthquake Optimization Algorithm. Preprints. https://doi.org/10.20944/preprints201809.0182.v1
Chicago/Turabian Style
Mendez, E., Pedro Ponce and Arturo Molina. 2018 "A Novel Geo-Inspired Earthquake Optimization Algorithm" Preprints. https://doi.org/10.20944/preprints201809.0182.v1
Abstract
A novel metaheuristic optimization method is proposed based on an earthquake that is a geology phenomenon. The novel Earthquake Algorithm (EA) proposed, adapts the principle of propagation of geology waves P and S through the earth material composed by random density to ensure the dynamic balance between exploration and exploitation, in order to reach the best solution to optimization complex problems by searching for the optimum into the search space. The performance and validation of the EA are compared against the Bat Algorithm (BA) and the Particle Swarm Optimization (PSO) by using 10 diverse benchmark functions. In addition, an experimental engineering application is implemented to evaluate the proposed algorithm. Early results show a feasibility of the proposed method with a clearly constancy and stability. It is important highlight the fact that the main purpose of this paper is to present a new line of research, which is opened from the novel EA.
Keywords
optimization; metaheuristic; earthquake algorithm; bat algorithm; particle swarm optimization; PID controller; DC motor; fuzzy logic; mamdani; geo-inspired computing
Subject
Computer Science and Mathematics, Data Structures, Algorithms and Complexity
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
