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GECCO
2008
Springer
128views Optimization» more  GECCO 2008»
13 years 5 months ago
Growth control and disease mechanisms in computational embryogeny
Or Yogev, Andrew A. Shapiro, Erik K. Antonsson
GECCO
2008
Springer
126views Optimization» more  GECCO 2008»
13 years 5 months ago
Levy walk evolution for global optimization
Onay Urfalioglu, A. Enis Çetin, Ercan E. Ku...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 5 months ago
Genetic programming with polymorphic types and higher-order functions
This article introduces our new approach to program representation for genetic programming (GP). We replace the usual s-expression representation scheme by a strongly-typed ion-ba...
Franck Binard, Amy P. Felty
GECCO
2008
Springer
152views Optimization» more  GECCO 2008»
13 years 5 months ago
Accelerating genetic programming by frequent subtree mining
One crucial issue in genetic programming (GP) is how to acquire promising building blocks efficiently. In this paper, we propose a GP method (called GPTM, GP with Tree Mining) whi...
Yoshitaka Kameya, Junichi Kumagai, Yoshiaki Kurata
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 5 months ago
Adaptive discretization on multidimensional continuous search spaces
This paper extends an adaptive discretization method, Spliton-Demand (SoD), to be capable of handling multidimensional continuous search spaces. The proposed extension is called m...
Jiun-Jiue Liou, Ying-Ping Chen
GECCO
2008
Springer
257views Optimization» more  GECCO 2008»
13 years 5 months ago
Rapid evaluation and evolution of neural models using graphics card hardware
This paper compares three common evolutionary algorithms and our modified GA, a Distributed Adaptive Genetic Algorithm (DAGA). The optimal approach is sought to adapt, in near rea...
Thomas F. Clayton, Leena N. Patel, Gareth Leng, Al...
GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 5 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 5 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 5 months ago
Estimation of pump-curves using genetic algorithms
This paper presents a variety of different ways of estimating the general parameters for pump-curves. First a formulation is made that converts the problem into estimating four p...
Gerulf K. M. Pedersen, Zhenyu Yang