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Fitness function
Known as:
Fitness
, Fitness (genetic algorithm)
, Fitness functions
A fitness function is a particular type of objective function that is used to summarise, as a single figure of merit, how close a given design…
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Related topics
Related topics
36 relations
Artificial creation
Chromosome (genetic algorithm)
Computer-automated design
Corner detection
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Genetic programming-based feature transform and classification for the automatic detection of pulmonary nodules on computed tomography images
Wookjin Choi
,
T. Choi
Information Sciences
2012
Corpus ID: 14464662
Highly Cited
2010
Highly Cited
2010
Particle swarm optimization with quantum infusion for system identification
Bipul Luitel
,
G. Venayagamoorthy
Engineering applications of artificial…
2010
Corpus ID: 21969307
Highly Cited
2010
Highly Cited
2010
A Stochastic Approach to Image Retrieval Using Relevance Feedback and Particle Swarm Optimization
M. Broilo
,
F. D. Natale
IEEE transactions on multimedia
2010
Corpus ID: 22018259
Understanding the subjective meaning of a visual query, by converting it into numerical parameters that can be extracted and…
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Highly Cited
2005
Highly Cited
2005
Impulsive bees forage better: the advantage of quick, sometimes inaccurate foraging decisions
J. G. Burns
Animal Behaviour
2005
Corpus ID: 53172475
Highly Cited
2001
Highly Cited
2001
Nest-site philopatry and the evolution of temperature-dependent sex determination
N. Valenzuela
,
F. Janzen
2001
Corpus ID: 8293787
Despite intensive research, there is no clear empirical evidence to explain the evolution and persistence of temperature…
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Highly Cited
2001
Highly Cited
2001
Scale strength as a cost of rapid growth in sunfish
J. Arendt
,
D. Wilson
,
E. Stark
2001
Corpus ID: 14564962
Comparisons among populations have revealed adaptive variation in growth rate within several species. However, theoretical models…
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Highly Cited
2000
Highly Cited
2000
Maximization of a nuclear system availability through maintenance scheduling optimization using a genetic algorithm
C. Lapa
,
C. Pereira
,
A. Mól
2000
Corpus ID: 6416678
Highly Cited
1996
Highly Cited
1996
Evolving edge detectors with genetic programming
Christopher Harris
,
B. Buxton
1996
Corpus ID: 15654065
Edge detection is the process of detecting discontinuities in signals and images. We apply genetic programming techniques to the…
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Highly Cited
1996
Highly Cited
1996
Confidence of paternity, actual paternity and parental effort by purple martins
R. Wagner
,
M. D. Schug
,
E. Morton
Animal Behaviour
1996
Corpus ID: 53191318
Abstract Abstract. Parental effort by socially monogamous purple martins was measured to test the hypothesis that males reduce…
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Highly Cited
1951
Highly Cited
1951
Physical fitness of champion athletes
T. K. Cureton
,
F. Boys
1951
Corpus ID: 142246463
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