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Reliable networks are those in which network elements have a positive probability of failing. Conventional performance measures for such networks concern themselves either with expected network performance or with the performance of the network when it is performing well. In reliable networks...
Persistent link: https://www.econbiz.de/10008800539
The traveling salesman problem is one of the most well-solved hard combinatorial optimization problems. Any new algorithm or heuristic for the traveling salesman problem is empirically evaluated based on its performance on standard test instances, as well as on randomly generated instances....
Persistent link: https://www.econbiz.de/10008800558
In this paper we propose a fast state-space enumeration based algorithm called TOP-DOWN capable of computing the probability mass function of the maximum s-t flow through reliable networks. The algorithm computes the probability mass function in the decreasing order of maximum s-t flow values in...
Persistent link: https://www.econbiz.de/10008801976
In this paper we present a strategy for speeding up the estimation of expected maximum flows through reliable networks. Our strategy tries to minimize the repetition of computational effort while evaluating network states sampled using the crude Monte Carlo method. Computational experiments with...
Persistent link: https://www.econbiz.de/10008802085
In this paper we propose a local search based improvement heuristic called diversified local search for the traveling salesman problem. We show through computational experiements that this algorithm outperforms tabu search with similar neighborhood structures on large sized traveling salesman...
Persistent link: https://www.econbiz.de/10008801456
The Traveling Salesman Problem (TSP) is one of the most widely studied problems inrncombinatorial optimization. It has long been known to be NP-hard and hence research onrndeveloping algorithms for the TSP has focused on approximate methods in addition to exactrnmethods. Tabu search is one of...
Persistent link: https://www.econbiz.de/10008802056
Real life traveling salesman problem (TSP) instances are often large,sparse, and asymmetric. Conventional tabu search implementations for the TSP that have been reported in the literature, almost always deals with small, dense and symmetric instances. In this paper, we outline data structures...
Persistent link: https://www.econbiz.de/10008802183