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GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
15 years 4 months ago
A doubly distributed genetic algorithm for network coding
We present a genetic algorithm which is distributed in two novel ways: along genotype and temporal axes. Our algorithm first distributes, for every member of the population, a su...
Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muri...
VL
1992
IEEE
192views Visual Languages» more  VL 1992»
15 years 2 months ago
Graphic Object Layout with Interactive Genetic Algorithms
Automatic graphic objectlayout methods havelong been studied in many application areas in which graphic objects should be laid out to satisfy the constraints specific to each appl...
Toshiyuki Masui
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 1 months ago
A tree-based genetic algorithm for building rectilinear Steiner arborescences
A rectilinear Steiner arborescence (RSA) is a tree, whose nodes include a prescribed set of points, termed the vertices, in the first quadrant of the Cartesian plane, and whose tr...
William A. Greene
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 4 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
CEC
2007
IEEE
15 years 4 months ago
Modified genetic algorithm for job-shop scheduling: A gap utilization technique
—The Job-Shop Scheduling Problem (JSSP) is one of the most critical combinatorial optimization problems. The objective of JSSP in this research is to minimize the makespan. In th...
S. M. Kamrul Hasan, Ruhul A. Sarker, David Cornfor...