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Fitness approximation
Known as:
Fitness
In function optimization, fitness approximation is a method for decreasing the number of fitness function evaluations to reach a target solution. It…
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Related topics
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20 relations
Approximation
Artificial neural network
Bayesian network
Crossover (genetic algorithm)
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Why do hosts with obvious egg polymorphism suffer low parasitism rates under avian brood parasitism? A theoretical consideration
Canchao Yang
,
W. Liang
,
A. Møller
Behavioral Ecology and Sociobiology
2016
Corpus ID: 10553042
Polymorphism is a general phenomenon in the natural world evolving as a result of frequency-dependent selection. Such…
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2016
2016
Enhancing covariance matrix adaptation evolution strategy through fitness inheritance
Rung-Tzuo Liaw
,
Chuan-Kang Ting
IEEE Congress on Evolutionary Computation
2016
Corpus ID: 487071
Evolution strategy (ES) has shown to be effective in many search and optimization problems. In particular, the ES with covariance…
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2016
2016
A self-adaptive similarity-based fitness approximation for evolutionary optimization
Jie Tian
,
Ying Tan
,
Chaoli Sun
,
J. Zeng
,
Yaochu Jin
IEEE Symposium Series on Computational…
2016
Corpus ID: 14948018
Evolutionary algorithms used to solve complex optimization problems usually need to perform a large number of fitness function…
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2012
2012
TM plane wave coupling to wire conductors above homogeneous soil: Comparison between complex image and transmission line approach
V. Arnautovski-Toseva
,
K. Drissi
,
C. Faure
,
C. Pasquier
,
K. Kerroum
SoftCOM , 20th International Conference on…
2012
Corpus ID: 1997841
In this paper the authors compare two approximate models for frequency domain analysis of TM plane wave coupling to horizontal…
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2010
2010
Improving Local Convergence in Particle Swarms by Fitness Approximation Using Regression
S. Bird
,
Xiaodong Li
2010
Corpus ID: 9807291
In this chapter we present a technique that helps Particle Swarm Optimisers (PSOs) locate an optimum more quickly, through…
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2004
2004
Robust Adaptive Identification of Fuzzy Systems with Uncertain Data
Mohit Kumar
,
R. Stoll
,
N. Stoll
Fuzzy Optimization and Decision Making
2004
Corpus ID: 3660803
This study presents a method of adaptive identification of parameters describing Sugeno fuzzy inference system in presence of…
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2003
2003
Robust Adaptive Fuzzy Identification of Time-Varying Processes with Uncertain Data. Handling Uncertainties in the Physical Fitness Fuzzy Approximation with Real World Medical Data: An Application
Mohit Kumar
,
R. Stoll
,
N. Stoll
Fuzzy Optimization and Decision Making
2003
Corpus ID: 39066511
This study considers the problem of Robust Fuzzy approximation of a time-varying nonlinear process in the presence of…
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2001
2001
Approximate models for nonlinear dynamical systems and their generalization properties
M. Vázquez
,
O. Agamennoni
2001
Corpus ID: 17820601
1998
1998
USING APPROXIMATE MODELS FOR ENGINEERING DESIGN
E. Cramer
1998
Corpus ID: 62175552
Engineers and designers use complicated computer simulations to model physical phenomenon. They evaluate many designs as they…
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1992
1992
Approximate Models for Structural Optimization
U. Kirsch
1992
Corpus ID: 117556250
Practical methods for optimal design of structures are usually based on approximation concepts. Some approximate models for…
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