Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39470
Título: | Solving large 0–1 multidimensional knapsack problems by a new simplified binary artificial fish swarm algorithm |
Autor(es): | Azad, Md. Abul Kalam Rocha, Ana Maria A. C. Fernandes, Edite Manuela da G. P. |
Palavras-chave: | Artificial fish swarm Heuristic search 0-1 knapsack problem Multidimensional knapsack |
Data: | 2015 |
Editora: | Botanical Society of America Inc. |
Revista: | Journal of Mathematical Modelling and Algorithms in Operations Research |
Resumo(s): | The artificial fish swarm algorithm has recently been emerged in continuous global optimization. It uses points of a population in space to identify the position of fish in the school. Many real-world optimization problems are described by 0-1 multidimensional knapsack problems that are NP-hard. In the last decades several exact as well as heuristic methods have been proposed for solving these problems. In this paper, a new simpli ed binary version of the artificial fish swarm algorithm is presented, where a point/ fish is represented by a binary string of 0/1 bits. Trial points are created by using crossover and mutation in the different fi sh behavior that are randomly selected by using two user de ned probability values. In order to make the points feasible the presented algorithm uses a random heuristic drop item procedure followed by an add item procedure aiming to increase the profit throughout the adding of more items in the knapsack. A cyclic reinitialization of 50% of the population, and a simple local search that allows the progress of a small percentage of points towards optimality and after that refines the best point in the population greatly improve the quality of the solutions. The presented method is tested on a set of benchmark instances and a comparison with other methods available in literature is shown. The comparison shows that the proposed method can be an alternative method for solving these problems. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/39470 |
DOI: | 10.1007/s10852-015-9275-2 |
ISSN: | 2214-2487 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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LargeMKP_JMMA-2015.pdf | 207,72 kB | Adobe PDF | Ver/Abrir |
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