Improved solutions for the traveling purchaser problem
Computers and Operations Research
Heuristics for the traveling purchaser problem
Computers and Operations Research
Improved heuristics for the traveling purchaser problem
Computers and Operations Research
Ant Colony Optimization
Traveling Salesman Problems with Profits
Transportation Science
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
Computers and Operations Research
A heuristics method based on ant colony optimisation for redundancy allocation problems
International Journal of Computer Applications in Technology
The multiple traveling purchaser problem for maximizing system's reliability with budget constraints
Expert Systems with Applications: An International Journal
Applied Soft Computing
Ant colony algorithm for traffic signal timing optimization
Advances in Engineering Software
Journal of Network and Computer Applications
The traveling purchaser problem, with multiple stacks and deliveries: A branch-and-cut approach
Computers and Operations Research
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The traveling purchaser problem (TPP) is a generalization of the traveling salesman problem where markets have to be visited to collect a set of commodities. Each market sells a number of commodities at a known price. The TPP consists in selecting a subset of markets purchasing every product, while minimizing the routing costs and the purchase costs. In this work, we address the solution of the TPP with an ant colony optimization procedure. We combine it with a local-search scheme exploring a new neighborhood structure. This procedure is evaluated on a set of benchmark instances from the literature and permits to improve most of the best-known solutions.