In this paper we combine the Genetic Algorithm and Least Square Method together to solve the conic fitting problems. We first use several parallel small ...
This paper presents an improved genetic algorithm for solving conic fitting problem. We first use several parallel small-populations genetic algorithms to ...
Song Gao, Chunping Li: An Improved Genetic Algorithm for Solving Conic Fitting Problems. CSIE (4) 2009: 800-804. manage site settings.
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Apr 27, 2012 · For many problems, I find that a Lamarckian-style of GA works well, combining a local search into the GA algorithm. For your case, I would try ...
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An evolutionary optimization technique namely Genetic Algorithm (GA) is used to solve the problem of curve fitting with a cubic spline function. GA works ...
The genetic algorithm method we propose uses geometric as opposed to algebraic fitting. This is computationally more intensive, but it provides scope for ...
Feb 18, 2017 · There's a completely generic way to increase the success rate of a probabilistic algorithm: simply run it multiple times.
An Improved Genetic Algorithm for Solving Conic Fitting Problems · Author Picture Song Gao,; Author Picture Chunping Li. March 2009CSIE '09: Proceedings of the ...
Compared with Dijkstra algorithm and Floyd algorithm, the improved GA in this paper not only has excellent robustness and adaptability in solving routing ...
An Improved Genetic Algorithm for Solving Conic Fitting Problems. 305. An improved genetic algorithm for solving deceptive problems. 306. An improved genetic ...