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CEC
2007
IEEE
16 years 1 months ago
Towards a generic control strategy for Evolutionary Algorithms: an adaptive fuzzy-learning approach
— This paper presents a new method to generalize strategies in order to control parameters of Evolutionary Algorithms (EAs). A learning process establishes the relationship betwe...
Jorge Maturana, Frédéric Saubion
IPPS
2007
IEEE
16 years 1 months ago
A hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem
This work presents a new hybrid Evolutionary Algorithm for the Dynamic Resource Constrained Task Scheduling Problem (DRCTSP). The most important differences between the new EA and...
André Renato Villela da Silva, Luiz Satoru ...
IWANN
2005
Springer
16 years 6 days ago
A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem
The Shortest Common Supersequence problem is a hard combinatorial optimization problem with numerous practical applications. Several evolutionary approaches are proposed for this p...
Carlos Cotta
GECCO
2000
Springer
145views Optimization» more  GECCO 2000»
15 years 10 months ago
Enhancing the GA's Ability to Cope with Dynamic Environments
: The Shifting Balance Genetic Algorithm (SBGA) is a pluggable module for a GA (or any other Evolutionary Algorithm) based on a modification of Sewall Wright's shifting balanc...
Mark Wineberg, Franz Oppacher
GECCO
2010
Springer
183views Optimization» more  GECCO 2010»
15 years 10 months ago
Benchmarking a MOS-based algorithm on the BBOB-2010 noisy function testbed
In this paper, a hybrid algorithm based on the Multiple Offspring Sampling framework is presented and benchmarked on the BBOB-2010 noisy testbed. MOS allows the seamless combinat...
Antonio LaTorre, Santiago Muelas, José Mar&...