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» Improving Evolutionary Algorithms with Scouting
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IPPS
2009
IEEE
14 years 2 months ago
New sequential and parallel algorithm for Dynamic Resource Constrained Project Scheduling Problem
This paper proposes a new Evolutionary Algorithm for the Dynamic Resource Constrained Project Scheduling Problem. This algorithm has new features that get around some problems lik...
André Renato Villela da Silva, Luiz Satoru ...
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
14 years 2 months ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...
CEC
2007
IEEE
13 years 8 months ago
Designing memetic algorithms for real-world applications using self-imposed constraints
— Memetic algorithms (MAs) combine the global exploration abilities of evolutionary algorithms with a local search to further improve the solutions. While a neighborhood can be e...
Thomas Michelitsch, Tobias Wagner, Dirk Biermann, ...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 2 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
CEC
2003
IEEE
13 years 11 months ago
Playing in continuous spaces: some analysis and extension of population-based incremental learning
- As an alternative to traditional Evolutionary Algorithms (EAs), Population-Based Incremental Learning (PBIL) maintains a probabilistic model of the best individual(s). Originally...
Bo Yuan, Marcus Gallagher