Preprint Article Version 1 This version is not peer-reviewed

A Novel Geo-Inspired Earthquake Optimization Algorithm

Version 1 : Received: 10 September 2018 / Approved: 11 September 2018 / Online: 11 September 2018 (04:57:11 CEST)

How to cite: Mendez, E.; Ortiz, A.; Ponce, P.; Molina, A. A Novel Geo-Inspired Earthquake Optimization Algorithm. Preprints 2018, 2018090182 (doi: 10.20944/preprints201809.0182.v1). Mendez, E.; Ortiz, A.; Ponce, P.; Molina, A. A Novel Geo-Inspired Earthquake Optimization Algorithm. Preprints 2018, 2018090182 (doi: 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.

Subject Areas

optimization; metaheuristic; earthquake algorithm; bat algorithm; particle swarm optimization; PID controller; DC motor; fuzzy logic; mamdani; geo-inspired computing

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