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» Adapting binary fitness functions in Genetic Algorithms
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PPSN
1992
Springer
15 years 1 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
AIPRF
2008
14 years 11 months ago
Internal vs. External Parameters in Fitness Functions
A fitness function is needed for a Genetic Algorithm (GA) to work, and it appears natural that the combination of objectives and constraints into a single scalar function using ar...
Pedro A. Diaz-Gomez, Dean F. Hougen
CEC
2008
IEEE
15 years 4 months ago
Fitness functions for the unconstrained evolution of digital circuits
— This work is part of a project that aims to develop and operate integrated evolvable hardware systems using unconstrained evolution. Experiments are carried out on an evolvable...
Tüze Kuyucu, Martin Trefzer, Andrew J. Greens...
EMO
2001
Springer
109views Optimization» more  EMO 2001»
15 years 2 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
TCAD
2002
110views more  TCAD 2002»
14 years 9 months ago
A constructive genetic algorithm for gate matrix layout problems
This paper describes an application of a Constructive Genetic Algorithm (CGA) to the Gate Matrix Layout Problem (GMLP). The GMLP happens in very large scale integration (VLSI) desi...
Alexandre César Muniz de Oliveira, Luiz Ant...