Khi Muỗi Tấn Công: Các Thuật Toán Muỗi Đối Với Các Vấn Đề Thoả Mãn Ràng Buộc

Achlioptas D., Gomes C.P., Kautz H.A., Selman B. (2000). Generating Satisfiable Problem Instances. In Proceedings of AAAI, 256–261 citation_journal_title=Constraints; citation_title=Random Constraint Satisfaction: A More Accurate Picture; citation_author=D. Achlioptas, L.M. Kirousis, E. Kranakis, D. Krizanc, M. Molloy, Y. Stamatiou; citation_volume=6; citation_issue=4; citation_publication_date=2001; citation_pages=329-344; citation_doi=10.1023/A:1011402324562; citation_id=CR2 Bullnheimer B., Hartl R., Strauss C. (1998). Applying the Ant System to the Vehicle Routing Problem. In: Osman I., Voss S., Martello S., Roucairol C (eds). Metaheuristics: Advances and Trends in Local Search Paradigms for Optimization Kluwer 109–120 Clark, D. A., Frank, J., Gent, I. P., MacIntyre, E., Tomov, N. & Walsh, T. (1996). Local Search and the Number of Solutions. In E. C. Freuder (ed.) Principles and Practice of Constraint Programming (Proceedings of CP’96), 119–133. LNCS 1118. Springer citation_journal_title=Artificial Life; citation_title=Ant Algorithms for Discrete Optimization; citation_author=M. Dorigo, G.D. Caro, L.M. Gambardella; citation_volume=5; citation_issue=2; citation_publication_date=1999; citation_pages=137-172; citation_doi=10.1162/106454699568728; citation_id=CR5 citation_journal_title=IEEE Transactions on Systems, Man, and Cybernetics – Part B; citation_title=The Ant System: Optimization by a Colony of Cooperating Agents; citation_author=M. Dorigo, V. Maniezzo, A. Colorni; citation_volume=26; citation_issue=1; citation_publication_date=1996; citation_pages=1-13; citation_id=CR6 citation_journal_title=Random Constraint Satisfaction: Flaws and Structure. Journal of Constraints; citation_author=I.P. Gent, E. MacIntyre, P. Prosser, B.M. Smith, T. Walsh; citation_volume=6; citation_issue=4; citation_publication_date=2001; citation_pages=345-372; citation_id=CR7 Gent, I. P., MacIntyre, E., Prosser, P., & Walsh, T. (1996). The Constrainedness of Search. In Proceedings of 13th AAAI, 246–252. Mertens, K., Steegmans, E. & Holvoet, T. (2002). Cyclic Path-Based Environment: an Ant Environment for Solving Distributed Constraint Satisfaction Problems. In M. Yokoo (ed.) Proceedings of the 3rd International Workshop on Distributed Constraint Reasoning, 94–103 Roli, A., Blum, C. & Dorigo, M. (2001). ACO for Maximal Constraint Satisfaction Problems. In Proceedings of the 4th Metaheuristics International Conference, 187–191 citation_journal_title=In Proceedings of the 2000 Congress on Evolutionary Computation; citation_title=Ant Colonies are Good at Solving Constraint Satisfaction Problems; citation_author=L. Schoofs, B. Naudts; citation_volume=2; citation_publication_date=2000; citation_pages=1190-1195; citation_doi=10.1109/CEC.2000.870784; citation_id=CR11 citation_journal_title=Artificial Intelligence; citation_title=Locating the Phase Transitions in Binary Constraint Satisfaction Problems; citation_author=B.M. Smith, M.E. Dyer; citation_volume=18; citation_issue=1–2; citation_publication_date=1996; citation_pages=155-181; citation_doi=10.1016/0004-3702(95)00052-6; citation_id=CR12 citation_journal_title=IEEE Transactions on Evolutionary Computation; citation_title=Ants Can Solve Constraint Satisfaction Problems; citation_author=C. Solnon; citation_volume=6; citation_issue=4; citation_publication_date=2002; citation_pages=347-357; citation_doi=10.1109/TEVC.2002.802449; citation_id=CR13 Stützle, T. & Hoos, H. (1998). Improvements on the Ant System: Introducing the $$\user1{MAX}-\user1{MIN}$$ Ant System. In G. Smith, N. Steele & R. Albrecht (eds.) Proceedings of Artificial Neural Nets and Genetic Algorithms 1997, Springer, 245–249 Tsang E. (1993). Foundations of Constraint Satisfaction. Academic Press