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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Genetic multi-step search in interpolation and extrapolation domain
The deterministic Multi-step Crossover Fusion (dMSXF) is an improved crossover method of MSXF which is a promising method of JSP, and it shows high availability in TSP. Both of th...
Yoshiko Hanada, Tomoyuki Hiroyasu, Mitsunori Miki
CEC
2008
IEEE
14 years 1 months ago
Mesh dependency of stress-based crossover for structural topology optimization
— This paper presents a genetic algorithm (GA) with a stress-based crossover (SX) operator to obtain a solution without checkerboard patterns for multi-constrained topology optim...
Cuimin Li, Tomoyuki Hiroyasu, Mitsunori Miki
GECCO
2007
Springer
160views Optimization» more  GECCO 2007»
14 years 1 months ago
An analysis of constructive crossover and selection pressure in genetic programming
A common problem in genetic programming search algorithms is destructive crossover in which the offspring of good parents generally has worse performance than the parents. Design...
Huayang Xie, Mengjie Zhang, Peter Andreae
EC
1998
134views ECommerce» more  EC 1998»
13 years 7 months ago
Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation
In this paper we first review the main results obtained in the theory of schemata in Genetic Programming (GP) emphasising their strengths and weaknesses. Then we propose a new, s...
Riccardo Poli, William B. Langdon
PPSN
2004
Springer
14 years 25 days ago
Distribution Tree-Building Real-Valued Evolutionary Algorithm
This article describes a new model of probability density function and its use in estimation of distribution algorithms. The new model, the distribution tree, has interesting prope...
Petr Posik