Mathematical and Computational Applications, vol.18, no.3, pp.486-494, 2013 (SCI-Expanded)
Article / Article
Mathematical and Computational Applications
Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
Evolutionary algorithms, Genetic algorithm, Heuristic approach, Multidimensional Knapsack problem
Dokuz Eylül University Affiliated:
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.