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22,454
Metrics are fitness functions too
- Proc. International Symposium on METRICS
, 2004
"... Metrics, whether collected statically or dynamically, and whether constructed from source code, systems or processes, are largely regarded as a means of evaluating some property of interest. This viewpoint has been very successful in developing a body of knowledge, theory and experience in the appli ..."
Abstract
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Cited by 41 (16 self)
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in the application of metrics to estimation, predication, assessment, diagnosis, analysis and improvement. This paper shows that there is an alternative, complementary, view of a metric: as a fitness function, used to guide a search for optimal or near optimal individuals in a search space of possible solutions
Evolutionary Neuroestimation of Fitness Functions
- In Proc. of 11th Portuguese Conference on Artificial Intelligence (EPIA’03), LNAI
, 2003
"... One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in data mining, in where the extraction of useful information is a main task, when databases have a great amount of examples, fitnes ..."
Abstract
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Cited by 3 (2 self)
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One of the most influential factors in the quality of the solutions found by an evolutionary algorithm is the appropriateness of the fitness function. Specifically in data mining, in where the extraction of useful information is a main task, when databases have a great amount of examples
On the Classification of Fitness Functions
, 1999
"... It is well-known that evolutionary algorithms succeed to optimize some functions efficiently and fail for others. Therefore, one would like to classify fitness functions as more or less hard to optimize for evolutionary algorithms. The aim of this paper is to clarify limitations and possibilities fo ..."
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Cited by 12 (0 self)
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It is well-known that evolutionary algorithms succeed to optimize some functions efficiently and fail for others. Therefore, one would like to classify fitness functions as more or less hard to optimize for evolutionary algorithms. The aim of this paper is to clarify limitations and possibilities
Properties of symmetric fitness functions
- IEEE Transactions on Evolutionary Computation
"... The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the search spaces obtained from symmetric functions have the zero-correlation structures. The Walsh analysis reveals the properti ..."
Abstract
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Cited by 2 (2 self)
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The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the search spaces obtained from symmetric functions have the zero-correlation structures. The Walsh analysis reveals
Efficient-Discarding Fitness Functions
"... In the last 30 years, a lot of effort has been dedicated to develop robust optimization methods like Evolutionary Algorithms, Simulated Annealing, and recently the so-called Estimation Distribution Algorithms. All these algorithms have to evaluate an objective functions many times. This situat ..."
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. This situation leads us to the problem of reducing the cost and number of function evaluations without affecting the performance of the methods. This paper investigates some conditions that allow the definition of an alternative fitness function called Efficient-Discarding Fitness Function
Reconstruction and Representation of 3D Objects with Radial Basis Functions
- Computer Graphics (SIGGRAPH ’01 Conf. Proc.), pages 67–76. ACM SIGGRAPH
, 2001
"... We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs al ..."
Abstract
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Cited by 505 (1 self)
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We use polyharmonic Radial Basis Functions (RBFs) to reconstruct smooth, manifold surfaces from point-cloud data and to repair incomplete meshes. An object's surface is defined implicitly as the zero set of an RBF fitted to the given surface data. Fast methods for fitting and evaluating RBFs
Articulated body motion capture by annealed particle filtering
- In IEEE Conf. on Computer Vision and Pattern Recognition
, 2000
"... The main challenge in articulated body motion tracking is the large number of degrees of freedom (around 30) to be recovered. Search algorithms, either deterministic or stochastic, that search such a space without constraint, fall foul of exponential computational complexity. One approach is to intr ..."
Abstract
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Cited by 494 (4 self)
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in the fitness function, gradually. The new algorithm, termed annealed particle filtering, is shown to be capable of recovering full articulated body motion efficiently. 1.
Lexical-Functional Grammar: A Formal System for Grammatical Representation
- IN: FORMAL ISSUES IN LEXICAL-FUNCTIONAL GRAMMAR
, 1995
"... In learning their native language, children develop a remarkable set of capabilities. They acquire knowledge and skills that enable them to produce and comprehend an indefinite number of novel utterances, and to make quite subtle judgments about certain of their properties. The major goal of psychol ..."
Abstract
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Cited by 609 (23 self)
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ultimately must fit together in a consistent and coherent model imposes even stronger constraints on their structure and operation.
Optimizing Stochastic and Multiple Fitness Functions
- in Proc. Evolutionary Programming
, 1995
"... How does one optimize a fitness function when the values it generates have a stochastic component? How does one simultaneously optimize multiple fitness criteria? These questions are important for many applications of evolutionary computation in an experimental environment. Solutions to these proble ..."
Abstract
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Cited by 3 (0 self)
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How does one optimize a fitness function when the values it generates have a stochastic component? How does one simultaneously optimize multiple fitness criteria? These questions are important for many applications of evolutionary computation in an experimental environment. Solutions
Fitness Functions for Ant Colony Paintings
"... A creativity-support tool for the creation of non-photorealistic renderings of images is described. It employs an evolutionary algorithm that evolves the parame-ters governing the behavior of ant species, and the paintings are produced by simulating the behavior of these artificial ants. The design ..."
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of fitness functions, using both behavioral and image features is discussed, emphasizing the rationale and intentions that guided the design. The analysis of the experimental results obtained by using different fitness functions focuses on assessing if they convey the intentions of the fitness function
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