Theory and Applications of Evolutionary Computation
暂无分享,去创建一个
Oliver Kramer | Tzung-Pei Hong | Chuan-Kang Ting | Oliver Kramer | T. Hong | Chuan-Kang Ting | T. Hong
[1] Michael M. Skolnick,et al. Using Genetic Algorithms in Engineering Design Optimization with Non-Linear Constraints , 1993, ICGA.
[2] Nguyen Xuan Hoai,et al. Estimating the distribution and propagation of genetic programming building blocks through tree compression , 2009, GECCO.
[3] Petros Koumoutsakos,et al. Local Meta-models for Optimization Using Evolution Strategies , 2006, PPSN.
[4] Masahiro Fujita,et al. Evolving robust gaits with AIBO , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).
[5] Ladislau Bölöni,et al. A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems , 2001, J. Parallel Distributed Comput..
[6] Enrique Alba,et al. Influence of the Migration Policy in Parallel Distributed GAs with Structured and Panmictic Populations , 2000, Applied Intelligence.
[7] Zhenghong Yu,et al. Worst-case formulations of model predictive control for systems with bounded parameters , 1997, Autom..
[8] Fernando Santos Osório,et al. Evolving morphologies and gaits of physically realistic simulated robots , 2009, SAC '09.
[9] Nico Vandaele,et al. Advanced Resource Planning , 2003 .
[10] Bhaba R. Sarker,et al. Operations planning for a multi-stage kanban system , 1999, Eur. J. Oper. Res..
[11] J Mathews-Gentry,et al. Bridging the reality gap. , 1980, Physical therapy.
[12] Fernando Santos Osório,et al. Applying Genetic Algorithms to Control Gait of Physically Based Simulated Robots , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[13] Dirk V. Arnold,et al. On the Behaviour of the (1+1)-ES for a Simple Constrained Problem , 2008, PPSN.
[14] Manfred Morari,et al. Robust Model Predictive Control , 1987, 1987 American Control Conference.
[15] Lingling Chen,et al. Gait Optimization of Biped Robot Based on Mix-encoding Genetic Algorithm , 2007, 2007 2nd IEEE Conference on Industrial Electronics and Applications.
[16] Candida Ferreira. Gene expression programming , 2006 .
[17] Henri Luchian,et al. AdaGEP - An Adaptive Gene Expression Programming Algorithm , 2007, Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007).
[18] Dilip Kumar Pratihar,et al. Soft computing-based gait planners for a dynamically balanced biped robot negotiating sloping surfaces , 2009, Appl. Soft Comput..
[19] R. Alexander. Optimum walking techniques for quadrupeds and bipeds , 2009 .
[20] Manfred Morari,et al. Robust constrained model predictive control using linear matrix inequalities , 1994, Proceedings of 1994 American Control Conference - ACC '94.
[21] Oliver Kramer,et al. On three new approaches to handle constraints within evolution strategies , 2006, Natural Computing.
[22] Mattias Wahde,et al. A flexible evolutionary method for the generation and implementation of behaviors for humanoid robots , 2001 .
[23] Manuela M. Veloso,et al. An evolutionary approach to gait learning for four-legged robots , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[24] S. Frank,et al. George Price's contributions to evolutionary genetics. , 1995, Journal of theoretical biology.
[25] Oscar H. Ibarra,et al. Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors , 1977, JACM.
[26] Masahiro Fujita,et al. Autonomous evolution of dynamic gaits with two quadruped robots , 2005, IEEE Transactions on Robotics.
[27] Ian T. Foster. Globus Toolkit Version 4: Software for Service-Oriented Systems , 2005, NPC.
[28] Guangming Xie,et al. Autonomous Evolution of High-Speed Quadruped Gaits Using Particle Swarm Optimization , 2008, RoboCup.
[29] Yasuhisa Hasegawa,et al. Trajectory generation for biped locomotion robot , 2000 .
[30] Esther Alvarez,et al. Multi-plant production scheduling in SMEs , 2007 .
[31] R. M. Alexander,et al. Energetics and optimization of human walking and running: the 2000 Raymond Pearl memorial lecture. , 2002 .
[32] J.-C. Deschamps,et al. A multi-level data model for load allocation to distributed manufacturing resources , 2000, Proceedings of the 2000 IEEE International Symposium on Intelligent Control. Held jointly with the 8th IEEE Mediterranean Conference on Control and Automation (Cat. No.00CH37147).
[33] Ohung Kwon,et al. Optimal trajectory generation for a biped robot walking a staircase based on genetic algorithms , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[34] Leonard Barolli,et al. Real time generation of humanoid robot optimal gait for going upstairs using intelligent algorithms , 2001 .
[35] Huosheng Hu,et al. Parameter optimisation of an evolutionary algorithm for on-line gait generation of quadruped robots , 2003, IEEE International Conference on Industrial Technology, 2003.
[36] Limin Huo,et al. Short-term load forecasting based on improved gene expression programming , 2008, 2008 7th World Congress on Intelligent Control and Automation.
[37] Mitsuhiro Yamano,et al. Multicriteria Optimal Humanoid Robot Motion Generation , 2007 .
[38] Changjiu Zhou,et al. Biped gait optimization using spline function based probability model , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..
[39] Jennifer M. Schopf,et al. Ten actions when Grid scheduling: the user as a Grid scheduler , 2004 .
[40] Patrick D. Surry,et al. A Multi-objective Approach to Constrained Optimisation of Gas Supply Networks: the COMOGA Method , 1995, Evolutionary Computing, AISB Workshop.
[41] Byung-Il Koh,et al. Limitations of parallel global optimization for large-scale human movement problems. , 2009, Medical engineering & physics.
[42] John Whittaker,et al. Rules of Thumb , 1996 .
[43] Raymond Lister,et al. Grand challenges , 2005, SGCS.
[44] J. Rodriguez,et al. Problem (2) , 1994 .
[45] George A. Bekey,et al. Genetic Algorithms for Gait Synthesis in a Hexapod Robot , 1994 .
[46] Donald E. Shobrys,et al. Planning, scheduling and control systems: why cannot they work together , 2000 .
[47] Rajkumar Buyya,et al. Nature's heuristics for scheduling jobs on Computational Grids , 2000 .
[48] Rajiv Biswas,et al. Use of Resources , 1986 .
[49] R. M. Alexander,et al. Optimization and gaits in the locomotion of vertebrates. , 1989, Physiological reviews.
[50] Krister Wolff,et al. Structural Evolution of Central Pattern Generators for Bipedal Walking in 3D Simulation , 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.
[51] Lixin Tang,et al. A review of planning and scheduling systems and methods for integrated steel production , 2001, Eur. J. Oper. Res..
[52] Tim Laue,et al. Automatic Parameter Optimization for a Dynamic Robot Simulation , 2009, RoboCup.
[53] Heitor Silvério Lopes,et al. EGIPSYS: AN ENHANCED GENE EXPRESSION PROGRAMMING APPROACH FOR SYMBOLIC REGRESSION PROBLEMS † , 2004 .
[54] Toshio Fukuda,et al. Natural motion generation of biped locomotion robot using hierarchical trajectory generation method consisting of GA, EP layers , 1997, Proceedings of International Conference on Robotics and Automation.
[55] Kejun Zhang,et al. Prediction of retention times for a large set of pesticides based on improved gene expression programming , 2008, GECCO '08.
[56] Richard Wolski,et al. The network weather service: a distributed resource performance forecasting service for metacomputing , 1999, Future Gener. Comput. Syst..
[57] William G. Cochran,et al. Experimental Designs, 2nd Edition , 1950 .
[58] Frank Hoffmeister,et al. Problem-Independent Handling of Constraints by Use of Metric Penalty Functions , 1996, Evolutionary Programming.
[59] Weiming Shen,et al. Applications of agent-based systems in intelligent manufacturing: An updated review , 2006, Adv. Eng. Informatics.
[60] G. Marsaglia. Choosing a Point from the Surface of a Sphere , 1972 .
[61] Nima Shafii,et al. Evolution of Biped Walking Using Truncated Fourier Series and Particle Swarm Optimization , 2009, RoboCup.
[62] Thomas Stützle,et al. MAX-MIN Ant System , 2000, Future Gener. Comput. Syst..
[63] Eugenio Zimeo,et al. An economy-driven mapping heuristic for hierarchical master-slave applications in grid systems , 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.
[64] Kazuhisa Mitobe,et al. A New Humanoid Robot Gait Generation Based on Multiobjective Optimization , 2005, AIM 2005.
[65] Thomas Bäck,et al. Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization , 2009, Algorithmic Bioprocesses.
[66] Carlos A. Coello Coello,et al. Constrained Optimization via Multiobjective Evolutionary Algorithms , 2008, Multiobjective Problem Solving from Nature.
[67] Mitsuo Gen,et al. A genetic algorithm-based approach for design of independent manufacturing cells , 1999 .
[68] Denis Fisseler,et al. Learning in a High Dimensional Space: Fast Omnidirectional Quadrupedal Locomotion , 2006, RoboCup.
[69] Anne K Gutmann,et al. Constrained optimization in human running , 2006, Journal of Experimental Biology.
[70] Oliver Kramer,et al. Sex and death: towards biologically inspired heuristics for constraint handling , 2007, GECCO '07.
[71] Ian T. Foster,et al. Grid information services for distributed resource sharing , 2001, Proceedings 10th IEEE International Symposium on High Performance Distributed Computing.
[72] C. Coello. TREATING CONSTRAINTS AS OBJECTIVES FOR SINGLE-OBJECTIVE EVOLUTIONARY OPTIMIZATION , 2000 .
[73] Zbigniew Skolicki,et al. The influence of migration sizes and intervals on island models , 2005, GECCO '05.
[74] Ian T. Foster,et al. MPICH-G2: A Grid-enabled implementation of the Message Passing Interface , 2002, J. Parallel Distributed Comput..
[75] B. F. Spencer. Validation of Results , 1986 .
[76] Youngjoon Han,et al. Adaptive Gait Pattern Generation of Biped Robot based on Human's Gait Pattern Analysis , 2007 .
[77] Andrew Y. C. Nee,et al. Application of genetic algorithm to computer-aided process planning in distributed manufacturing environments , 2005 .
[78] Dennis S. Bernstein,et al. Benchmark Problems for Robust Control Design , 1991, 1991 American Control Conference.
[79] Min Sun,et al. Gait Parameters Optimization and Real-Time Trajectory Planning for Humanoid Robots , 2009, ICIC.
[80] Zhenbang Gong,et al. Non-time reference gait planning and optimization for a stable bipedal walking , 2008, 2008 IEEE International Symposium on Industrial Electronics.
[81] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[82] Warren Smith,et al. A directory service for configuring high-performance distributed computations , 1997, Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183).
[83] Dirk Biskup,et al. A state-of-the-art review on scheduling with learning effects , 2008, Eur. J. Oper. Res..
[84] Ashish Dutta,et al. Trajectory Generation Using GA for an 8 DOF Biped Robot with Deformation at the Sole of the Foot , 2007, J. Intell. Robotic Syst..
[85] Soha Hassoun,et al. Evolving soft robotic locomotion in PhysX , 2009, GECCO '09.
[86] John E A Bertram,et al. Constrained optimization in human walking: cost minimization and gait plasticity , 2005, Journal of Experimental Biology.
[87] Alf Kimms,et al. Lot sizing and scheduling -- Survey and extensions , 1997 .
[88] Nima Shafii,et al. An optimized gait generator based on fourier series towards fast and robust biped locomotion involving arms swing , 2009, 2009 IEEE International Conference on Automation and Logistics.
[89] Jiang Wu,et al. Adaptive Gene Expression Programming Algorithm Based on Cloud Model , 2008, 2008 International Conference on BioMedical Engineering and Informatics.
[90] Changjiu Zhou,et al. Humanoid Walking Gait Optimization Using GA-Based Neural Network , 2005, ICNC.
[91] Hans-Paul Schwefel,et al. Evolution strategies – A comprehensive introduction , 2002, Natural Computing.
[92] Hong Bing-rong,et al. An Efficient Strategy of Penalty Kick and Goal Keep Based on Evolutionary Walking Gait for Biped Soccer Robot , 2007 .
[93] Jarek Nabrzyski,et al. Grid resource management: state of the art and future trends , 2004 .
[94] D. F. Hoyt,et al. Gait and the energetics of locomotion in horses , 1981, Nature.
[95] Sam Kwong,et al. Genetic algorithm to production planning and scheduling problems for manufacturing systems , 2000 .
[96] H. H. Rosenbrock,et al. An Automatic Method for Finding the Greatest or Least Value of a Function , 1960, Comput. J..
[97] Fernando Santos Osório,et al. Gait Control Generation for Physically Based Simulated Robots Using Genetic Algorithms , 2006, IBERAMIA-SBIA.
[98] Changjiu Zhou,et al. EDA-Based Optimization and Learning Methods for Biped Gait Generation , 2007 .
[99] A. Ruina,et al. Multiple walking speed-frequency relations are predicted by constrained optimization. , 2001, Journal of theoretical biology.
[100] Zbigniew Michalewicz,et al. Parameter control in evolutionary algorithms , 1999, IEEE Trans. Evol. Comput..
[101] Min Huaqing,et al. Multi-objective optimization for a humanoid robot climbing stairs based on Genetic Algorithms , 2009, 2009 International Conference on Information and Automation.
[102] Paul Jung,et al. No free lunch. , 2002, Health affairs.
[103] Qiwei Liu,et al. Multi-population Parallel Genetic Algorithm for Economic Statistical Information Mining Based on Gene Expression Programming , 2007, Third International Conference on Natural Computation (ICNC 2007).
[104] A. Garulli,et al. Output-feedback predictive control of constrained linear systems via set-membership state estimation , 2000 .
[105] Jong-Wook Kim,et al. Optimal Trajectory Generation for Walking Up and Down a Staircase with a Biped Robot Using Genetic Algorithm (GA) , 2009, FIRA.
[106] Jan Paredis,et al. Co-evolutionary Constraint Satisfaction , 1994, PPSN.
[107] Manfred Morari,et al. Model predictive control: Theory and practice - A survey , 1989, Autom..
[108] George R. Price,et al. Selection and Covariance , 1970, Nature.
[109] Ming-Jong Yao,et al. Solving the economic lot scheduling problem with deteriorating items using genetic algorithms , 2005 .
[110] John Soldatos,et al. EMPEROR: An OGSA Grid Meta-Scheduler Based on Dynamic Resource Predictions , 2005, Journal of Grid Computing.
[111] Carlos A. Coello Coello,et al. Use of a self-adaptive penalty approach for engineering optimization problems , 2000 .
[112] Jason Maassen,et al. Programming environments for high-performance Grid computing: the Albatross project , 2002, Future Gener. Comput. Syst..
[113] José Ignacio Hidalgo,et al. Is the island model fault tolerant? , 2007, GECCO '07.
[114] K. Wampler,et al. Optimal gait and form for animal locomotion , 2009, SIGGRAPH 2009.
[115] Yue Jiang,et al. Parallel Multi-objective Gene Expression Programming Based on Area Penalty , 2008, 2008 International Conference on Computer Science and Information Technology.
[116] K. Deb. An Efficient Constraint Handling Method for Genetic Algorithms , 2000 .
[117] Matthias Hebbel,et al. Modeling and Learning Walking Gaits of Biped Robots , 2006 .
[118] Thomas Bäck,et al. Metamodel-Assisted Evolution Strategies , 2002, PPSN.
[119] Xin Yao,et al. Fast Evolution Strategies , 1997, Evolutionary Programming.
[120] Leonard Barolli,et al. Optimal trajectory generation for a prismatic joint biped robot using genetic algorithms , 2002, Robotics Auton. Syst..
[121] Oliver Kramer,et al. A new mutation operator for evolution strategies for constrained problems , 2005, 2005 IEEE Congress on Evolutionary Computation.
[122] Selim G. Akl,et al. Scheduling Algorithms for Grid Computing: State of the Art and Open Problems , 2006 .
[123] Tetsuyuki Takahama,et al. Constrained Optimization by the ε Constrained Differential Evolution with Gradient-Based Mutation and Feasible Elites , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[124] Xian-He Sun,et al. Performance Modeling and Prediction of Nondedicated Network Computing , 2002, IEEE Trans. Computers.
[125] K. Deb,et al. An alternative constraint handling method for evolution strategies , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[126] David H. Wolpert,et al. No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..
[127] John M. Wilson,et al. The capacitated lot sizing problem: a review of models and algorithms , 2003 .
[128] Ming-Yang Cheng,et al. Genetic algorithm for control design of biped locomotion , 1997 .
[129] Carlos A. Coello Coello,et al. THEORETICAL AND NUMERICAL CONSTRAINT-HANDLING TECHNIQUES USED WITH EVOLUTIONARY ALGORITHMS: A SURVEY OF THE STATE OF THE ART , 2002 .
[130] Y. Ho,et al. Simple Explanation of the No-Free-Lunch Theorem and Its Implications , 2002 .
[131] Zbigniew Skolicki,et al. The importance of a two-level perspective for island model design , 2007, 2007 IEEE Congress on Evolutionary Computation.
[132] Xingsheng Gu,et al. A dynamic inertia weight particle swarm optimization algorithm , 2008 .
[133] Christopher R. Houck,et al. On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[134] Thomas Philip Runarsson,et al. Approximate Evolution Strategy using Stochastic Ranking , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[135] William I. Sellers,et al. Evaluating alternative gait strategies using evolutionary robotics , 2004, Journal of anatomy.
[136] Javier Ruiz-del-Solar,et al. Combining Simulation and Reality in Evolutionary Robotics , 2007, J. Intell. Robotic Syst..
[137] L. Darrell Whitley,et al. Building Better Test Functions , 1995, ICGA.
[138] Michael O'Neill,et al. Exploring Grammatical Evolution for Horse Gait Optimisation , 2009, EuroGP.
[139] J. A. Tenreiro Machado,et al. DEVELOPMENT OF A GENETIC ALGORITHM FOR THE OPTIMIZATION OF HEXAPOD ROBOT PARAMETERS , 2009 .
[140] Krister Wolff,et al. Evolutionary optimization of a bipedal gait in a physical robot , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[141] Enrique Alba,et al. Analyzing synchronous and asynchronous parallel distributed genetic algorithms , 2001, Future Gener. Comput. Syst..
[142] Kisung Seo,et al. Genetic programming based automatic gait generation for quadruped robots , 2008, GECCO '08.
[143] Qining Wang,et al. Collaborative Localization and Gait Optimization of SharPKUngfu Team , 2007 .
[144] Jack J. Dongarra,et al. MPI_Connect Managing Heterogeneous MPI Applications Ineroperation and Process Control , 1998, PVM/MPI.
[145] Kalyanmoy Deb,et al. A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..
[146] Heinz Mühlenbein,et al. Evolution in Time and Space - The Parallel Genetic Algorithm , 1990, FOGA.
[147] Maolin Tang,et al. Dynamic optimization of migration topology in internet-based distributed genetic algorithms , 2005, GECCO '05.
[148] Peter Stone,et al. Machine Learning for Fast Quadrupedal Locomotion , 2004, AAAI.
[149] P. Schuster,et al. IR-98-039 / April Continuity in Evolution : On the Nature of Transitions , 1998 .
[150] Changjiu Zhou,et al. Dynamically stable gait planning for a humanoid robot to climb sloping surface , 2004, IEEE Conference on Robotics, Automation and Mechatronics, 2004..
[151] Erik D. Goodman,et al. Coarse-grain parallel genetic algorithms: categorization and new approach , 1994, Proceedings of 1994 6th IEEE Symposium on Parallel and Distributed Processing.
[152] Francine Berman,et al. High-performance schedulers , 1998 .
[153] Risto Miikkulainen,et al. Towards an empirical measure of evolvability , 2005, GECCO '05.
[154] Eric Kubica,et al. Introduction of the Foot Placement Estimator: A Dynamic Measure of Balance for Bipedal Robotics , 2008 .
[155] Jong Hyeon Park,et al. Generation of an Optimal Gait Trajectory for Biped Robots Using a Genetic Algorithm , 2004 .
[156] Ho-Hyun Park,et al. Parallel hybrid evolutionary computation: Automatic tuning of parameters for parallel gene expression programming , 2008, Appl. Math. Comput..
[157] F. Saibene. The mechanisms for minimizing energy expenditure in human locomotion. , 1990, European journal of clinical nutrition.
[158] D. Mayne,et al. Min-max feedback model predictive control for constrained linear systems , 1998, IEEE Trans. Autom. Control..
[159] Abdelaziz Bouroumi,et al. A multipopulation cultural algorithm using fuzzy clustering , 2007, Appl. Soft Comput..
[160] Abhijit Bose,et al. MARS: a metascheduler for distributed resources in campus grids , 2004, Fifth IEEE/ACM International Workshop on Grid Computing.
[161] Hong Peng,et al. A Niching Gene Expression Programming Algorithm Based on Parallel Model , 2007, APPT.
[162] Jose Miguel Puerta,et al. Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm , 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.
[163] Cândida Ferreira,et al. Gene Expression Programming: A New Adaptive Algorithm for Solving Problems , 2001, Complex Syst..
[164] J. Eperjesi. Gait optimization of AIBO robot based on interactive evolutionary computation , 2008, 2008 6th International Symposium on Applied Machine Intelligence and Informatics.
[165] Marco Laumanns,et al. SPEA2: Improving the strength pareto evolutionary algorithm , 2001 .
[166] Jong-Wook Kim,et al. Generation of optimal trajectories for ascending and descending a stair of a humanoid based on uDEAS , 2009, 2009 IEEE International Conference on Fuzzy Systems.
[167] Manoj Srinivasan,et al. Computer optimization of a minimal biped model discovers walking and running , 2006, Nature.
[168] N. Meyers,et al. H = W. , 1964, Proceedings of the National Academy of Sciences of the United States of America.
[169] Francine Berman,et al. Master/slave computing on the Grid , 2000, Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556).
[170] M. Morari,et al. Robust Stability of Constrained Model Predictive Control , 1993, 1993 American Control Conference.
[171] J. Pepper. The evolution of evolvability in genetic linkage patterns. , 2003, Bio Systems.
[172] Ting Hu,et al. Nonsynonymous to Synonymous Substitution Ratio ka/ks: Measurement for Rate of Evolution in Evolutionary Computation , 2008, PPSN.
[173] Viktor K. Prasanna,et al. Heterogeneous computing: challenges and opportunities , 1993, Computer.
[174] David Q. Mayne,et al. Constrained model predictive control: Stability and optimality , 2000, Autom..