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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
16 years 24 days ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
16 years 24 days ago
A destructive evolutionary process: a pilot implementation
This paper describes the application of evolutionary search to the problem of Flash memory wear-out. The operating parameters of Flash memory are notoriously difficult to determin...
Joe Sullivan, Conor Ryan
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
16 years 24 days ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
GECCO
2007
Springer
200views Optimization» more  GECCO 2007»
16 years 24 days ago
Adaptive variance scaling in continuous multi-objective estimation-of-distribution algorithms
Recent research into single–objective continuous Estimation– of–Distribution Algorithms (EDAs) has shown that when maximum–likelihood estimations are used for parametric d...
Peter A. N. Bosman, Dirk Thierens
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
16 years 24 days ago
On the runtime analysis of the 1-ANT ACO algorithm
The runtime analysis of randomized search heuristics is a growing field where, in the last two decades, many rigorous results have been obtained. These results, however, apply pa...
Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carst...