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GECCO
2009
Springer
15 years 3 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 3 months ago
Inference of genetic networks using S-system: information criteria for model selection
In this paper we present an evolutionary approach for inferring the structure and dynamics in gene circuits from observed expression kinetics. For representing the regulatory inte...
Nasimul Noman, Hitoshi Iba
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 3 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 3 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
ERCIMDL
2000
Springer
147views Education» more  ERCIMDL 2000»
15 years 3 months ago
Map Segmentation by Colour Cube Genetic K-Mean Clustering
Segmentation of a colour image composed of different kinds of texture regions can be a hard problem, namely to compute for an exact texture fields and a decision of the optimum num...
Vitorino Ramos, Fernando Muge