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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 creationChromosome (genetic algorithm)Computer-automated designCorner detection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Fitness Function in ABC Algorithm for Uncapacitated Facility Location Problem
We study the fitness function of the artificial bee colony algorithm applying to solve the uncapacitated facility location… 
Review
2006
Review
2006
Multi-objective optimization using genetic algorithms: A tutorial
Review
2005
Review
2005
Accelerating evolutionary algorithms with Gaussian process fitness function models
We present an overview of evolutionary algorithms that use empirical models of the fitness function to accelerate convergence… 
Review
2005
Review
2005
A comprehensive survey of fitness approximation in evolutionary computation
Evolutionary algorithms (EAs) have received increasing interests both in the academy and industry. One main difficulty in… 
Highly Cited
2002
Highly Cited
2002
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the… 
Highly Cited
2000
Highly Cited
2000
On Evolutionary Optimization with Approximate Fitness Functions
The evaluation of the quality of solutions is usually very time-consuming in design optimization. Therefore, time-efficient… 
Review
1998
Review
1998
Fitness sharing and niching methods revisited
Interest in multimodal optimization function is expanding rapidly since real-world optimization problems often require the… 
Highly Cited
1996
Highly Cited
1996
Genetic Algorithms + Data Structures = Evolution Programs
1 GAs: What Are They?.- 2 GAs: How Do They Work?.- 3 GAs: Why Do They Work?.- 4 GAs: Selected Topics.- 5 Binary or Float?.- 6… 
Highly Cited
1995
Highly Cited
1995
On genetic algorithms
We analyze the performance of a Genetic Type Algorithm we call Culling and a variety of other algorithms on a problem we refer to… 
Highly Cited
1993
Highly Cited
1993
Genetic Algorithms
. Given an image, there is no unique measure to quantitatively judge the quality of an image enhancement operator. It is also not… 
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