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» A New Crossover Operator for Genetic Algorithms
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WSCG
2004
118views more  WSCG 2004»
13 years 9 months ago
New Method for Geometric Constraint Solving Based on the Genetic Quantum Algorithm
This paper proposes a novel genetic quantum algorithm (GQA) to solve geometric constraint problems. Instead of binary, numeric or symbolic representation, we introduce qubit chrom...
Chunhong Cao, Wenhui Li
ANOR
2010
123views more  ANOR 2010»
13 years 7 months ago
Nature inspired genetic algorithms for hard packing problems
This paper presents two novel genetic algorithms (GAs) for hard industrially relevant packing problems. The design of both algorithms is inspired by aspects of molecular genetics,...
Philipp Rohlfshagen, John A. Bullinaria
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee
CEC
2005
IEEE
14 years 1 months ago
Constraint quadratic approximation operator for treating equality constraints with genetic algorithms
Abstract- This paper presents a new operator for genetic algorithms that enhances their convergence in the case of nonlinear problems with nonlinear equality constraints. The propo...
Elizabeth F. Wanner, Frederico G. Guimarães...
EVOW
1994
Springer
13 years 11 months ago
Genetic Approaches to Learning Recursive Relations
The genetic programming (GP) paradigm is a new approach to inductively forming programs that describe a particular problem. The use of natural selection based on a fitness ]unction...
Peter A. Whigham, Robert I. McKay