New insertion and postoptimization procedures for the traveling salesman problem
Operations Research
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
On the Integration of a TSP Heuristic into an EA for the Bi-objective Ring Star Problem
HM '08 Proceedings of the 5th International Workshop on Hybrid Metaheuristics
The bi-objective stochastic covering tour problem
Computers and Operations Research
SEA'10 Proceedings of the 9th international conference on Experimental Algorithms
A math-heuristic for the warehouse location-routing problem in disaster relief
Computers and Operations Research
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The paper discusses the definition and solution of a bi-objective routing problem, namely the bi-objective covering tour problem. The bi-objective CTP is a generalization of the covering tour problem, which means that the covering distance and the associated constraints have been replaced by a new objective. We propose a two-phase cooperative strategy that combines a multi-objective evolutionary algorithm with a branch-and-cut algorithm initially designed to solve a single-objective covering tour problem. Experiments were conducted using both randomly generated instances and real data. Optimal Pareto sets were determined using a bi-objective exact method based on an @e-constraint approach with a branch-and-cut algorithm.