CEC 2010 - PDF Preprint Papers

CEC 2010 IEEE Congress on Evolutionary Computation

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CEC
2010
IEEE

388views Artificial Intelligence» more CEC 2010»

Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship

14 years 1 months ago

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The TORCS Endurance World Championship is an international competition in which programmers develop and tune their drivers to race against each other using TORCS, a state-of-the-ar...

Luigi Cardamone, Daniele Loiacono, Pier Luca Lanzi

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Id	Views	Title	Status

1	388	Applying cooperative coevolution to compete in the 2009 TORCS Endurance World Championship	claim
2	378	Porting Autodock to CUDA	claim
3	367	Learning to overtake in TORCS using simple reinforcement learning	claim
4	345	Two novel Ant Colony Optimization approaches for Bayesian network structure learning	claim
5	339	Large scale global optimization using self-adaptive differential evolution algorithm	claim
6	332	A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning	claim
7	319	Using aesthetic measures to evolve art	claim
8	297	Comparison of GA and PSO performance in parameter estimation of microbial growth models: A case-study using experimental data	claim
9	291	Genetic programming for Expert Systems	claim
10	285	A modified Invasive Weed Optimization algorithm for time-modulated linear antenna array synthesis	claim
11	278	An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification	claim
12	263	Non-rigid 3D face shape reconstruction using a genetic algorithm	claim
13	260	PUGACE, a cellular Evolutionary Algorithm framework on GPUs	claim
14	256	Optimization of biogas production with computational intelligence a comparative study	claim
15	247	Classifier-assisted constrained evolutionary optimization for automated geometry selection of orthodontic retraction spring
16	235	Real-coded differential crisp clustering for MRI brain image segmentation	claim
17	234	The one-commodity traveling salesman problem with selective pickup and delivery: An ant colony approach	claim
18	231	Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems	claim
19	230	Evolving programs with parameters and loops	claim
20	227	Evolving cascades of voting feature detectors for vehicle detection in satellite imagery	claim
21	227	Two-stage based ensemble optimization for large-scale global optimization	claim
22	227	Linear antenna array synthesis using fitness-adaptive differential evolution algorithm	claim
23	225	Adaptive learning particle swarm optimizer-II for global optimization	claim
24	222	Active Learning Genetic programming for record deduplication	claim
25	221	The jMetal framework for multi-objective optimization: Design and architecture	claim
26	220	Born to trade: A genetically evolved keyword bidder for sponsored search	claim
27	219	Elitist Artificial Bee Colony for constrained real-parameter optimization	claim
28	217	A binary Particle Swarm Optimization approach to fault diagnosis in parallel and distributed systems	claim
29	216	Automatic construction of image transformation algorithms using feature based genetic image network	claim
30	216	Dynamic multi-swarm particle swarm optimizer with sub-regional harmony search	claim
31	216	Coevolutionary Temporal Difference Learning for small-board Go
32	215	A penalty-based genetic algorithm for the composite SaaS placement problem in the Cloud	claim
33	209	The differential Ant-Stigmergy Algorithm for large-scale global optimization	claim
34	207	Evolving natural language grammars without supervision	claim
35	206	An analysis of massively distributed evolutionary algorithms	claim
36	206	A novel hybrid evolutionary strategy and its periodization with multi-objective genetic optimizers	claim
37	205	Automatic determination of parameters' values for Heuristics Miner++	claim
38	201	Iterated local search vs. hyper-heuristics: Towards general-purpose search algorithms	claim
39	201	Cooperative Co-evolution with delta grouping for large scale non-separable function optimization	claim
40	200	A hybrid genetic algorithm and inver over approach for the travelling salesman problem	claim
41	200	Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails	claim
42	199	A Mean-Variance Optimization algorithm	claim
43	195	On convergence of multi-objective Particle Swarm Optimizers	claim
44	195	Beyond No Free Lunch: Realistic algorithms for arbitrary problem classes	claim
45	194	Simulated Annealing for constructing binary covering arrays of variable strength	claim
46	193	Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle Swarm Optimization	claim
47	191	Multi-objective memetic evolution of ART-based classifiers	claim
48	191	Multiobjective optimization algorithm for solving constrained single objective problems	claim
49	191	Behavioral diversity measures for Evolutionary Robotics	claim
50	188	SBArt4 - Breeding abstract animations in realtime	claim
51	188	Learning-assisted evolutionary search for scalable function optimization: LEM(ID3)	claim
52	187	A novel framework to elucidate core classes in a dataset	claim
53	187	Differential evolution with ensemble of constraint handling techniques for solving CEC 2010 benchmark problems	claim
54	187	A hybrid genetic algorithm for rescue path planning in uncertain adversarial environment	claim
55	186	An analysis of clustering objectives for feature selection applied to encrypted traffic identification	claim
56	181	Accelerated optimisation of chemotherapy dose schedules using fitness inheritance	claim
57	181	Population-Based Guided Local Search: Some preliminary experimental results	claim
58	179	Geometric Nelder-Mead Algorithm for the permutation representation	claim
59	179	Improving GP classification performance by injection of decision trees	claim
60	178	CHC and SA applied to wind energy optimization using real data	claim
61	178	Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm	claim
62	178	Parallel hybrid evolutionary algorithms on GPU	claim
63	178	Sequential DE enhanced by neighborhood search for Large Scale Global Optimization	claim
64	178	Evolved Bayesian Network models of rig operations in the gulf of Mexico	claim
65	177	Global search for occlusion minimisation in virtual camera control	claim
66	177	Multi-objective mobile agent-based Sensor Network Routing using MOEA/D	claim
67	176	Functionalization of microarray devices: Process optimization using a multiobjective PSO and multiresponse MARS modeling	claim
68	175	Hyper-heuristics with a dynamic heuristic set for the home care scheduling problem	claim
69	174	A novel memetic algorithm for constrained optimization	claim
70	174	Evolvable mechanics: Hardware tools for evolutionary robotics	claim
71	173	Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling	claim
72	172	Evolving a CUDA kernel from an nVidia template	claim
73	172	What is the relationship between behavioral robustness and distributed mechanisms of cognitive behavior?	claim
74	171	G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules	claim
75	170	The 2009 Mario AI Competition	claim
76	169	Exploring the Kuramoto model of coupled oscillators in minimally cognitive evolutionary robotics tasks	claim
77	168	Providing a memory mechanism to enhance the evolutionary design of heuristics	claim
78	167	Towards probabilistic memetic algorithm: An initial study on capacitated arc routing problem	claim
79	167	A grammar based Ant Programming algorithm for mining classification rules	claim
80	164	Evoptool: An extensible toolkit for evolutionary optimization algorithms comparison	claim
81	163	Fitness landscape analysis for evolutionary non-photorealistic rendering	claim
82	163	Higher-order functions in aesthetic EC encodings	claim
83	161	Coordinate System Archive for coevolution	claim
84	160	Evolutionary layered hypernetworks for identifying microRNA-mRNA regulatory modules	claim
85	159	Generating a novel sort algorithm using Reinforcement Programming	claim
86	159	Towards scalability in niching methods	claim
87	159	Co-evolutionary search path planning under constrained information-sharing for a cooperative unmanned aerial vehicle team	claim
88	157	Local Optima Networks of the Quadratic Assignment Problem	claim
89	156	Novel multimodal problems and differential evolution with ensemble of restricted tournament selection	claim
90	155	Constrained global optimization of low-thrust interplanetary trajectories	claim
91	155	Concurrently evolving sensor morphology and control for a hexapod robot	claim
92	155	Beating the 'world champion' evolutionary algorithm via REVAC tuning	claim
93	154	Principles of protein processing for a self-organising associative memory	claim
94	153	A modified genetic algorithm for matching building sets with the histograms of forces	claim
95	153	An examination on the modularity of grammars in grammatical evolutionary design	claim
96	153	Scaling eCGA model building via data-intensive computing	claim
97	152	A mixed strategy for Evolutionary Programming based on local fitness landscape	claim
98	152	On-line evolution of robot controllers by an encapsulated evolution strategy	claim
99	152	A hybrid multi-objective extremal optimisation approach for multi-objective combinatorial optimisation problems	claim
100	150	Meta-heuristic search and square Erickson matrices	claim
101	150	Smart flight and dynamic tolerances in the artificial bee colony for constrained optimization	claim
102	150	Mobile interface for adaptive image refinement using interactive evolutionary computing	claim
103	150	Improving evolutionary testing by means of efficiency enhancement techniques	claim
104	150	Discriminating normal and cancerous thyroid cell lines using implicit context representation Cartesian genetic programming	claim
105	148	AGE-P: Moving from concept to technical realization	claim
106	146	Evolutionary automated recognition and characterization of an individual's artistic style	claim
107	145	Implementing an intuitive mutation operator for interactive evolutionary 3D design	claim
108	143	A parallel framework for multi-objective evolutionary optimization	claim
109	141	On the role of modularity in evolutionary dynamic optimisation	claim
110	138	Revisiting Evolutionary Information Filtering	claim
111	137	Interactive interpolating crossover in grammatical evolution	claim
112	135	Tree-adjunct grammatical evolution	claim
113	134	An analysis of the operation of differential evolution at high and low crossover rates	claim
114	131	Evolving efficient limit order strategy using Grammatical Evolution	claim
115	131	Crossover and the different faces of differential evolution searches	claim
116	129	Grammatical rules for the automated construction of heuristics	claim
117	128	Defining locality in genetic programming to predict performance	claim
118	127	EDDIE for investment opportunities forecasting: Extending the search space of the GP	claim
119	120	Multi-objective robust static mapping of independent tasks on grids	claim
120	115	Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution	claim

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