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GECCO
2007
Springer
532views Optimization» more  GECCO 2007»
14 years 13 days ago
Evolving evolutionary algorithms using evolutionary algorithms
A new model for automatic generation of Evolutionary Algorithms (EAs) by evolutionary means is proposed in this paper. The model is based on a simple Genetic Algorithm (GA). Every...
Laura Diosan, Mihai Oltean
ICML
1996
IEEE
13 years 10 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
FLAIRS
2007
13 years 8 months ago
Performance Analysis of Evolutionary Search with a Dynamic Restart Policy
In this work we explore how the complexity of a problem domain affects the performance of evolutionary search using a performance-based restart policy. Previous research indicates...
Michael Solano, Istvan Jonyer
IPPS
2007
IEEE
14 years 17 days 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 ...
CEC
2009
IEEE
13 years 11 months ago
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen...