TY - GEN

T1 - A K-means Grasshopper Algorithm Applied to the Knapsack Problem

AU - Pinto, Hernan

AU - Peña, Alvaro

AU - Causa, Leonardo

AU - Valenzuela, Matías

AU - Villavicencio, Gabriel

N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - In engineering and science, there are many combinatorial optimization problems. A lot of these problems are NP-hard and can hardly be addressed by full techniques. Therefore, designing binary algorithms based on swarm intelligence continuous metaheuristics is an area of interest in operational research. In this paper we use a general binarization mechanism based on the k-means technique. We apply the k-means technique to grasshopper algorithm to solve multidimensional knapsack problem (MKP). Experiments are designed to demonstrate the utility of the k-means technique in binarization. Additionally we verify the efficiency of our algorithm through benchmark instances, showing that binary k-means grasshopper algorithm (BKGOA) obtains adequate results when it is evaluated against another state of the art algorithm.

AB - In engineering and science, there are many combinatorial optimization problems. A lot of these problems are NP-hard and can hardly be addressed by full techniques. Therefore, designing binary algorithms based on swarm intelligence continuous metaheuristics is an area of interest in operational research. In this paper we use a general binarization mechanism based on the k-means technique. We apply the k-means technique to grasshopper algorithm to solve multidimensional knapsack problem (MKP). Experiments are designed to demonstrate the utility of the k-means technique in binarization. Additionally we verify the efficiency of our algorithm through benchmark instances, showing that binary k-means grasshopper algorithm (BKGOA) obtains adequate results when it is evaluated against another state of the art algorithm.

KW - Combinatorial optimization

KW - K-means

KW - KnapSack

KW - Metaheuristics

UR - http://www.scopus.com/inward/record.url?scp=85089718478&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-51971-1_19

DO - 10.1007/978-3-030-51971-1_19

M3 - Conference contribution

AN - SCOPUS:85089718478

SN - 9783030519704

T3 - Advances in Intelligent Systems and Computing

SP - 234

EP - 244

BT - Artificial Intelligence and Bioinspired Computational Methods - Proceedings of the 9th Computer Science On-line Conference, CSOC 2020

A2 - Silhavy, Radek

PB - Springer

T2 - 9th Computer Science On-line Conference, CSOC 2020

Y2 - 15 July 2020 through 15 July 2020

ER -