EVOW 2008 - PDF Preprint Papers

EVOW 2008 Process in Evolutionary Computation Workshop

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EVOW
2008
Springer

423views Artificial Intelligence» more EVOW 2008»

Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs

14 years 1 months ago

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Abstract. A major challenge in computer-generated music is to produce music that sounds natural. This paper introduces NEAT Drummer, which takes steps toward natural creativity. NE...

Amy K. Hoover, Michael P. Rosario, Kenneth O. Stan...

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Id	Views	Title	Status

1	423	Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs	claim
2	224	A Hybrid Column Generation Approach for the Berth Allocation Problem	claim
3	195	A Hybrid Random Subspace Classifier Fusion Approach for Protein Mass Spectra Classification	claim
4	193	Improving Query Expansion with Stemming Terms: A New Genetic Algorithm Approach	claim
5	185	Detection of Quantitative Trait Associated Genes Using Cluster Analysis	claim
6	176	Efficient Local Search Limitation Strategies for Vehicle Routing Problems	claim
7	173	Artificial Creatures for Object Tracking and Segmentation	claim
8	173	Composing Music with Neural Networks and Probabilistic Finite-State Machines	claim
9	171	Compound Particle Swarm Optimization in Dynamic Environments	claim
10	170	An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation	claim
11	168	Improving Metaheuristic Performance by Evolving a Variable Fitness Function	claim
12	164	Architecture Performance Prediction Using Evolutionary Artificial Neural Networks	claim
13	152	Improving the Performance of Hierarchical Classification with Swarm Intelligence	claim
14	152	Discovering Several Robot Behaviors through Speciation	claim
15	143	Divide, Align and Full-Search for Discovering Conserved Protein Complexes	claim
16	142	Analogue Circuit Control through Gene Expression	claim
17	139	Option Model Calibration Using a Bacterial Foraging Optimization Algorithm	claim
18	137	Protein Interaction Inference Using Particle Swarm Optimization Algorithm	claim
19	134	A Memory Enhanced Evolutionary Algorithm for Dynamic Scheduling Problems	claim
20	133	Multiobjective Prototype Optimization with Evolved Improvement Steps	claim
21	132	Genetic Programming in Statistical Arbitrage	claim
22	128	A Study of Some Implications of the No Free Lunch Theorem	claim
23	127	AtomSwarm: A Framework for Swarm Improvisation	claim
24	126	Improved Construction Heuristics and Iterated Local Search for the Routing and Wavelength Assignment Problem	claim
25	125	Reactive Stochastic Local Search Algorithms for the Genomic Median Problem	claim
26	123	Hybrid Metaheuristic for the Prize Collecting Travelling Salesman Problem	claim
27	123	Implicit Fitness Functions for Evolving a Drawing Robot	claim
28	123	An Evolutionary Approach for Ontology Driven Image Interpretation	claim
29	122	Memory Based on Abstraction for Dynamic Fitness Functions	claim
30	121	DEEPER: A Full Parsing Based Approach to Protein Relation Extraction	claim
31	121	Enhancing Parameter Estimation of Biochemical Networks by Exponentially Scaled Search Steps	claim
32	120	Metaheuristics for the Bi-objective Ring Star Problem	claim
33	120	Automatic Invention of Fitness Functions with Application to Scene Generation	claim
34	116	Adaptive Local Search for a New Military Frequency Hopping Planning Problem	claim
35	114	An Evolutionary Methodology for Test Generation for Peripheral Cores Via Dynamic FSM Extraction	claim
36	112	A Conflict Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction Problems	claim
37	112	Analysis of Reconfigurable Logic Blocks for Evolvable Digital Architectures	claim
38	111	Evolving an Automatic Defect Classification Tool	claim
39	111	Learning Gaussian Graphical Models of Gene Networks with False Discovery Rate Control	claim
40	107	Particle Swarm Optimization for Tackling Continuous Review Inventory Models	claim
41	104	Reconstruction of Networks from Their Betweenness Centrality	claim
42	101	Classification of Seafloor Habitats Using Genetic Programming	claim
43	93	Truncation Selection and Gaussian EDA: Bounds for Sustainable Progress in High-Dimensional Spaces	claim

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