A New Artificial Fish Swarm Algorithm for the Multiple Knapsack Problem

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A simplified binary artificial fish swarm algorithm for 0-1 quadratic knapsack problems

This paper proposes a simplified binary version of the artificial fish swarm algorithm (S-bAFSA) for solving 0–1 quadratic knapsack problems. This is a combinatorial optimization problem, which arises in many fields of optimization. In S-bAFSA, trial points are created by using crossover and mutation. In order to make the points feasible, a random heuristic drop item procedure is used. The heur...

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The 0–1 multidimensional knapsack problem (MKP) arises in many fields of optimization and is NP-hard. Several exact as well as heuristic methods exist. Recently, an artificial fish swarm algorithm has been developed in continuous global optimization. The algorithm uses a population of points in space to represent the position of fish in the school. In this paper, a binary version of the artific...

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APPROXIMATE ALGORITHM FOR THE MULTI-DIMENSIONAL KNAPSACK PROBLEM BY USING MULTIPLE CRITERIA DECISION MAKING

In this paper, an interesting and easy method to solve the multi-dimensional  knapsack problem is presented. Although it belongs to the combinatorial optimization, but the proposed method belongs to the decision making field in mathematics. In order to, initially efficiency values for every item is calculated then items are ranked by using Multiple Criteria Decision Making (MCDA).  Finally, ite...

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ژورنال

عنوان ژورنال: IEICE Transactions on Information and Systems

سال: 2014

ISSN: 0916-8532,1745-1361

DOI: 10.1587/transinf.e97.d.455