Self-adaptive learning for hybrid genetic algorithms

Self-adaptive learning for hybrid genetic algorithms

Local search can be introduced into genetic algorithms to create a hybrid, but any improvement in performance is dependent on the learning mechanism. In the Lamarckian model, a candidate solution is replaced by a fitter neighbour if one is found by local search. In the Baldwinian model, the original...

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Bibliographic Details
Main Authors: El-Mihoub, T.A (Author), Hopgood, A.A (Author), Nolle, L. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2021
Subjects:
Adaptive learning
Baldwinism
Evolution strategies
Fitness functions
Genetic algorithms
High-quality solutions
Hybrid algorithms
Hybrid genetic algorithms
Lamarckism
Learning algorithms
Learning mechanism
Learning strategies
Local search (optimization)
Local search spaces
Memetic algorithms
Metaheuristics
Reinforcement learning
Self-adaptive learning
Topology
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