A hybrid ant colony optimization approach for the design of reliable networks
2007 IEEE Congress on Evolutionary Computation, 2007•ieeexplore.ieee.org
This paper presents a new solution approach, which is a hybridization of ant colony
optimization (ACO) and simulated annealing (SA), called (liACO) to design of
communication networks. The design problem is to find the optimal network topology where
total cost is minimum and all-terminal reliability is not less-than a given level of reliability.
The effectiveness of the liACO is investigated comparing its results with those obtained by
SA and ACO, which are basic forms of the liACO, and also GAs given in the literature for the …
optimization (ACO) and simulated annealing (SA), called (liACO) to design of
communication networks. The design problem is to find the optimal network topology where
total cost is minimum and all-terminal reliability is not less-than a given level of reliability.
The effectiveness of the liACO is investigated comparing its results with those obtained by
SA and ACO, which are basic forms of the liACO, and also GAs given in the literature for the …
This paper presents a new solution approach, which is a hybridization of ant colony optimization (ACO) and simulated annealing (SA), called (liACO) to design of communication networks. The design problem is to find the optimal network topology where total cost is minimum and all- terminal reliability is not less-than a given level of reliability. The effectiveness of the liACO is investigated comparing its results with those obtained by SA and ACO, which are basic forms of the liACO, and also GAs given in the literature for the design problem. Computational results show that the liACO is an effective heuristic approach to design of reliable networks.
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