Parameter estimation and hypothesis testing in linear models
Parameter estimation and hypothesis testing in linear models
Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Artificial evolution for computer graphics
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Modern heuristic techniques for combinatorial problems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
A graph-constructive approach to solving systems of geometric constraints
ACM Transactions on Graphics (TOG)
Combining constructive and equational geometric constraint-solving techniques
ACM Transactions on Graphics (TOG)
Future Generation Computer Systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Local Search in Combinatorial Optimization
Local Search in Combinatorial Optimization
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Estimation of Distribution Algorithms: A New Tool for Evolutionary Computation
Analysis of the Best-Worst Ant System and Its Variants on the QAP
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Parameter Optimisation of an Image Processing System Using Evolutionary Algorithms
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Evolutionary algorithms in modeling and animation
Handbook of computer animation
A General Parallel Simulated Annealing Library and its Application in Airline Industry
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
On the Fine Structure of Large Search Spaces
ICTAI '99 Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence
Population-Based Incremental Learning: A Method for Integrating Genetic Search Based Function Optimization and Competitive Learning
Strategies for optimizing image processing by genetic and evolutionary computation
ICTAI '00 Proceedings of the 12th IEEE International Conference on Tools with Artificial Intelligence
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
ACM Computing Surveys (CSUR)
Ant Colony Optimization
Soft Computing and Tools of Intelligent Systems Design: Theory and Applications
Soft Computing and Tools of Intelligent Systems Design: Theory and Applications
Stochastic Local Search: Foundations & Applications
Stochastic Local Search: Foundations & Applications
The Number of Embeddings of Minimally Rigid Graphs
Discrete & Computational Geometry
Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics)
Prediction intervals for regression models
Computational Statistics & Data Analysis
A scatter search-based technique for pair-wise 3D range image registration in forensic anthropology
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Computing the Gamma Function Using Contour Integrals and Rational Approximations
SIAM Journal on Numerical Analysis
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Technology and Digital Art: Creating video art with evolutionary algorithms
Computers and Graphics
Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
Advances in Metaheuristics for Hard Optimization (Natural Computing Series)
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Parameter Setting in Evolutionary Algorithms
Parameter Setting in Evolutionary Algorithms
Handbook of Parametric and Nonparametric Statistical Procedures
Handbook of Parametric and Nonparametric Statistical Procedures
Hybrid Evolutionary Algorithm for Solving Global Optimization Problems
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Genetic and Evolutionary Computation for Image Processing and Analysis
Genetic and Evolutionary Computation for Image Processing and Analysis
Feature-based image registration by means of the CHC evolutionary algorithm
Image and Vision Computing
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
Evaluating las vegas algorithms: pitfalls and remedies
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Fitness sharing and niching methods revisited
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Evolutionary Computation
Statistical exploratory analysis of genetic algorithms
IEEE Transactions on Evolutionary Computation
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The hyper-cube framework for ant colony optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Example-based procedural modelling by geometric constraint solving
Multimedia Tools and Applications
Evolutionary multi-objective optimization for mesh simplification of 3D open models
Integrated Computer-Aided Engineering
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The availability of a model to measure the performance of evolutionary algorithms is very important, especially when these algorithms are applied to solve problems with high computational requirements. That model would compute an index of the quality of the solution reached by the algorithm as a function of run-time. Conversely, if we fix an index of quality for the solution, the model would give the number of iterations to be expected. In this work, we develop a statistical model to describe the performance of PBIL and CHC evolutionary algorithms applied to solve the root identification problem. This problem is basic in constraint-based, geometric parametric modeling, as an instance of general constraint-satisfaction problems. The performance model is empirically validated over a benchmark with very large search spaces.