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GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 9 months ago
Comparison of multi-objective evolutionary algorithms in optimizing combinations of reinsurance contracts
Our paper concerns optimal combinations of different types of reinsurance contracts. We introduce a novel approach based on the Mean-Variance-Criterion to solve this task. Two sta...
Ingo Oesterreicher, Andreas Mitschele, Frank Schlo...
CEC
2003
IEEE
15 years 9 months ago
Phylogenetic trees using evolutionary search: initial progress in extending Gaphyl to work with genetic data
AbstractGaphyl is an application of evolutionary algorithms (EA's) to phylogenetics, an approach used by biologists to investigate evolutionary relationships among organisms. ...
Clare Bates Congdon, Kevin J. Septor
GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
15 years 9 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
PATAT
2000
Springer
83views Education» more  PATAT 2000»
15 years 9 months ago
A Hyperheuristic Approach to Scheduling a Sales Summit
The concept of a hyperheuristic is introduced as an approach rates at a higher lever of abstraction than current metaheuristic approaches. The hyperheuristic manages the choice of ...
Peter I. Cowling, Graham Kendall, Eric Soubeiga
DAC
1995
ACM
15 years 9 months ago
Code Optimization Techniques for Embedded DSP Microprocessors
—We address the problem of code optimization for embedded DSP microprocessors. Such processors (e.g., those in the TMS320 series) have highly irregular datapaths, and conventiona...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Stev...