Description
Hybrid Metaheuristics, 1st ed. 2019
11th International Workshop, HM 2019, Concepción, Chile, January 16-18, 2019, Proceedings
Theoretical Computer Science and General Issues Series
Coordinators: Blesa Aguilera Maria J., Blum Christian, Gambini Santos Haroldo, Pinacho-Davidson Pedro, Godoy del Campo Julio
Language: English
Subjects for Hybrid Metaheuristics:
Keywords
artificial intelligence; combinatorial optimization; evolutionary algorithms; genetic algorithms; graph theory; heuristic algorithms; heuristic methods; integer programming; linear programming; metaheuristics; problem solving; simulated annealing; traveling salesman problem; algorithm analysis and problem complexity; data structures
Support: Print on demand
Description
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This book constitutes the refereed proceedings of the 11th International Workshop on Hybrid Metaheuristics, HM 2019, held in Concepción, Chile, in January 2019.
The 11 revised full papers and 5 short papers presented were carefully reviewed and selected from 23 submissions. The papers present hybridization strategies and explore the integration of new techniques coming from other areas of expertise. They cover a variety of topics such as low-level hybridization, high-level hybridization, portfolio techniques, cooperative search, and theoretical aspects of hybridization.
