Gov
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Gov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Gov's perspective
Ordered by how strongly the researchers Gov trusts endorse each paper. Same corpus, a different order for every researcher.
- Genetic Algorithms + Data Structures = Evolution Programs
- Creating High-Level Components with a Generative Representation for Body-Brain Evolution
- Genetic Programming: On the Programming of Computers by Means of Natural Selection
- Adapting Crossover in Evolutionary Algorithms
- Reducing the Time Complexity of the Derandomized Evolution Strategy with Covariance Matrix Adaptation (CMA-ES)
- Self-Adaptive Genetic Algorithms with Simulated Binary Crossover (Evolutionary Computation)
- Simulated annealing and Boltzmann machines
- Adapting arbitrary normal mutation distributions in evolution strategies: the covariance matrix adaptation
- Completely Derandomized Self-Adaptation in Evolution Strategies
- Evolving virtual creatures