Adaptation in Dynamic Environments: A Case Study in Mission Planning
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Zbigniew Michalewicz | Lam Thu Bui | Manuel Blanco Abello | Eddy Parkinson | Z. Michalewicz | L. Bui | M. Abello | E. Parkinson
[1] Hartmut Schmeck,et al. Ant colony optimization for resource-constrained project scheduling , 2000, IEEE Trans. Evol. Comput..
[2] Jonathan Billington,et al. A coloured petri net based tool for course of action development and analysis , 2002, FME 2002.
[3] David E. Goldberg,et al. Nonstationary Function Optimization Using Genetic Algorithms with Dominance and Diploidy , 1987, ICGA.
[4] Zbigniew Michalewicz,et al. Adaptive Business Intelligence , 2009, Encyclopedia of Artificial Intelligence.
[5] Sushil J. Louis,et al. Learning with case-injected genetic algorithms , 2004, IEEE Transactions on Evolutionary Computation.
[6] Hajime Kita,et al. Adaptation to Changing Environments by Means of the Memory Based Thermodynamical Genetic Algorithm , 1997, ICGA.
[7] Jürgen Branke,et al. A Multi-population Approach to Dynamic Optimization Problems , 2000 .
[8] Alf Kimms,et al. Optimization guided lower and upper bounds for the resource investment problem , 2001, J. Oper. Res. Soc..
[9] Krzysztof Fleszar,et al. An evolutionary algorithm for resource-constrained project scheduling , 2002, IEEE Trans. Evol. Comput..
[10] Adel Guitouni,et al. Multi-objectives Tabu Search based algorithm for progressive resource allocation , 2007, Eur. J. Oper. Res..
[11] Sameer Alam,et al. Multi-Objective Optimization in Computational Intelligence: Theory and Practice , 2008 .
[12] Joseph Y.-T. Leung,et al. Handbook of Scheduling: Algorithms, Models, and Performance Analysis , 2004 .
[13] W. Punch,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problems , 1997 .
[14] Rainer Kolisch,et al. Experimental investigation of heuristics for resource-constrained project scheduling: An update , 2006, Eur. J. Oper. Res..
[15] Lothar Thiele,et al. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results , 2000, Evolutionary Computation.
[16] Kalyanmoy Deb,et al. Multi-objective optimization using evolutionary algorithms , 2001, Wiley-Interscience series in systems and optimization.
[17] Jürgen Branke,et al. Evolutionary Optimization in Dynamic Environments , 2001, Genetic Algorithms and Evolutionary Computation.
[18] C. A. Coello Coello,et al. Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Computational Intelligence Magazine.
[19] Erik D. Goodman,et al. A Genetic Algorithm Approach to Dynamic Job Shop Scheduling Problem , 1997, ICGA.
[20] Concepción Maroto,et al. A Robust Genetic Algorithm for Resource Allocation in Project Scheduling , 2001, Ann. Oper. Res..
[21] Mark Wineberg,et al. Enhancing the GA's Ability to Cope with Dynamic Environments , 2000, GECCO.
[22] Krishna R. Pattipati,et al. Integration of a Holonic Organizational Control Architecture and Multiobjective Evolutionary Algorithm for Flexible Distributed Scheduling , 2008, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.
[23] Amir Azaron,et al. Multi-objective time-cost trade-off in dynamic PERT networks using an interactive approach , 2007, Eur. J. Oper. Res..
[24] Lothar Thiele,et al. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study , 1998, PPSN.
[25] Zbigniew Michalewicz,et al. Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .
[26] Erik Demeulemeester,et al. Proactive heuristic procedures for robust project scheduling: An experimental analysis , 2008, Eur. J. Oper. Res..
[27] Pei-Chann Chang,et al. One-machine rescheduling heuristics with efficiency and stability as criteria , 1993, Comput. Oper. Res..
[28] Robert H. Kewley,et al. Computational military tactical planning system , 2002, IEEE Trans. Syst. Man Cybern. Part C.
[29] Roman Slowinski,et al. Multiobjective project scheduling under multiple-category resource constraint , 1989 .
[30] Jan Karel Lenstra,et al. Scheduling subject to resource constraints: classification and complexity , 1983, Discret. Appl. Math..
[31] Albert Battersby,et al. Advances in Critical Path Methods , 1966 .
[32] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[33] Jan Van Damme,et al. Project scheduling under uncertainty survey and research potentials , 2002 .
[34] Carlos A. Coello Coello,et al. Evolutionary multi-objective optimization: a historical view of the field , 2006, IEEE Comput. Intell. Mag..
[35] Ian Fuss,et al. On Relationships between Key Concepts of Operational Level Planning , 2000 .
[36] Jürgen Branke,et al. Evolutionary optimization in uncertain environments-a survey , 2005, IEEE Transactions on Evolutionary Computation.
[37] Sanja Petrovic,et al. SURVEY OF DYNAMIC SCHEDULING IN MANUFACTURING SYSTEMS , 2006 .
[38] J. Berger,et al. A Survey of Military Planning Systems , 2004 .
[39] Zbigniew Michalewicz,et al. Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.
[40] H. Crichton-Miller. Adaptation , 1926 .
[41] Jonathan F. Bard,et al. Disruption management for resource-constrained project scheduling , 2005, J. Oper. Res. Soc..
[42] John J. Grefenstette,et al. Genetic Algorithms for Changing Environments , 1992, PPSN.
[43] Rainer Kolisch,et al. Experimental evaluation of state-of-the-art heuristics for the resource-constrained project scheduling problem , 2000, Eur. J. Oper. Res..
[44] Shahram Shadrokh,et al. Bi-objective resource-constrained project scheduling with robustness and makespan criteria , 2006, Appl. Math. Comput..
[45] Lin Zhang,et al. Decision-Theoretic Military Operations Planning , 2004, ICAPS.
[46] Michael Pinedo,et al. Scheduling: Theory, Algorithms, and Systems , 1994 .
[47] Jorge Pinho de Sousa,et al. Using metaheuristics in multiobjective resource constrained project scheduling , 2000, Eur. J. Oper. Res..
[48] Marco Laumanns,et al. SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization , 2002 .
[49] John J. Grefenstette,et al. Case-Based Initialization of Genetic Algorithms , 1993, ICGA.
[50] Hussein A. Abbass,et al. Multiobjective optimization for dynamic environments , 2005, 2005 IEEE Congress on Evolutionary Computation.
[51] Erik Demeulemeester,et al. A branch-and-bound procedure for the multiple resource-constrained project scheduling problem , 1992 .
[52] Erik Demeulemeester,et al. A classification of predictive-reactive project scheduling procedures , 2007, J. Sched..
[53] Hussein A. Abbass,et al. A MULTI-OBJECTIVE RISK-BASED FRAMEWORK FOR MISSION CAPABILITY PLANNING , 2009 .
[54] Helen G. Cobb,et al. An Investigation into the Use of Hypermutation as an Adaptive Operator in Genetic Algorithms Having Continuous, Time-Dependent Nonstationary Environments , 1990 .
[55] A. Nagar,et al. Multiple and bicriteria scheduling : A literature survey , 1995 .
[56] Rasmus K. Ursem,et al. Multinational GAs: Multimodal Optimization Techniques in Dynamic Environments , 2000, GECCO.
[57] H. Abbass,et al. PDE: a Pareto-frontier differential evolution approach for multi-objective optimization problems , 2001, Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546).