[PDF] hgsadc

What is hgsadc?

HGSADC is a hybrid meta-heuristic combining the exploration capabilities of genetic algorithms with efficient local search-based improvement procedures and diversity management mechanisms. In HGSADC, population diversity is considered as an objective to be optimized along with solution quality through individual evaluations and selections.

What is hgsadc vrptw?

For the VRPTW, HGSADC is comparable to the hybrid genetic algorithm of Nagata et al. in terms of solution quality, is less computationally efficient, but relies on less problem-tailored components, and does not necessitate dedicated route minimization procedures.

What is hgsadc parent selection and crossover?

Parent selection and crossover An iteration of HGSADC corresponds to the generation of a new individual by a succession of genetic operations. Two parents are first selected by binary tournament in the union of both feasible and infeasible populations, and used as input to the crossover operator. The PIX crossover is used for the PVRPTW.

Can hgsadc be used to address CVRP?

HGSADC can thus be used to address the CVRP with very minor changes in the distance measure and the parameters, even though its operators were designed for multiperiod settings. Detailed results of experiments on 34 well-known CVRP instances from the literature are reported in the e-companion EC.5.

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A Hybrid Genetic Algorithm for Multidepot and Periodic

Genetic Search with Adaptive Diversity Control (HGSADC) performs impressively in terms of both solution quality and computational efficiency HGSADC outperforms the state-of-the-art methods for the three problem classes on all currently available benchmark instances identifying either the best known solutions including the optimal ones or 611

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