An exact algorithm for the fixed-charge multiple knapsack problem

2009 ◽  
Vol 192 (2) ◽  
pp. 700-705 ◽  
Author(s):  
Takeo Yamada ◽  
Takahiro Takeoka
Author(s):  
S. Fidanova

The ant colony optimization algorithms and their applications on the multiple knapsack problem (MKP) are introduced. The MKP is a hard combinatorial optimization problem with wide application. Problems from different industrial fields can be interpreted as a knapsack problem including financial and other management. The MKP is represented by a graph, and solutions are represented by paths through the graph. Two pheromone models are compared: pheromone on nodes and pheromone on arcs of the graph. The MKP is a constraint problem which provides possibilities to use varied heuristic information. The purpose of the chapter is to compare a variety of heuristic and pheromone models and different variants of ACO algorithms on MKP.


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