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» Evolutionary algorithms and dynamic programming
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GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 8 months ago
Stock trading strategies by genetic network programming with flag nodes
Genetic Network Programming (GNP) has been proposed as a graph-based evolutionary algorithm. GNP works well especially in dynamic environments due to its graph structures. In addi...
Shingo Mabu, Yan Chen, Etsushi Ohkawa, Kotaro Hira...
BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
13 years 7 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
CEC
2008
IEEE
14 years 1 months ago
EA-MP: An evolutionary algorithm for a mine planning problem
In this paper we introduce an evolutionary algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear integer p...
María-Cristina Riff, Teddy Alfaro, Xavier B...
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 8 months ago
Automatic generation of XSLT stylesheets using evolutionary algorithms
This paper introduces a procedure based on genetic programming to evolve XSLT programs (usually called stylesheets or logicsheets). XSLT is a general purpose, document-oriented fu...
Pablo García-Sánchez, Juan Juli&aacu...
CEC
2009
IEEE
14 years 1 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...