Work

An Introduction of Krill Herd Algorithm for Engineering Optimization

Year: 2015

Type: article

Abstract: A new metaheuristic optimization algorithm, called Krill Herd (KH), has been recently proposed by Gandomi and Alavi (2012). In this study, KH is introduced for solving engineering optimization problems. For more verification, KH is applied to six design problems reported in the literature. Further, the performance of the KH algorithm is compared with that of various algorithms representative of the state-of-the-art in the area. The comparisons show that the results obtained by KH are better than the best solutions obtained by the existing methods.

Source: Journal of Civil Engineering and Management

DOI: 10.3846/13923730.2014.897986

Authors: Amir H. GANDOMI, Amir H. ALAVI

Institutions: University of Akron, Michigan State University

Language: English

Topic: Metaheuristic Optimization Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $517