Title of article :
A GENETIC ALGORITHM TO SOLVE THE MULTIDIMENSIONAL KNAPSACK PROBLEM
Author/Authors :
Berberler, Murat Ersen Dokuz Eylul University - Department of Computer Science, Turkey , Guler, Asli Yasar University - Department of Mathematics, Turkey , Nurıyev, Urfat G. Ege University - Department of Mathematics, Turkey
Abstract :
In this paper, The Multidimensional Knapsack Problem (MKP) which occurs in many different applications is studied and a genetic algorithm to solve the MKP is proposed. Unlike the technique of the classical genetic algorithm, initial population is not randomly generated in the proposed algorithm, thus the solution space is scanned more efficiently. Moreover, the algorithm is written in C programming language and is tested on randomly generated instances. It is seen that the algorithm yields optimal solutions for all instances.
Keywords :
Multidimensional Knapsack Problem , Genetic Algorithm , Heuristic Approach , Evolutionary Algorithms
Journal title :
mathematical and computational applications
Journal title :
mathematical and computational applications
