Applying genetic programming to PSB2: the next generation program synthesis benchmark suite
T Helmuth, P Kelly - Genetic Programming and Evolvable Machines, 2022 - Springer
For the past seven years, researchers in genetic programming and other program synthesis
disciplines have used the General Program Synthesis Benchmark Suite (PSB1) to …
disciplines have used the General Program Synthesis Benchmark Suite (PSB1) to …
An exploratory landscape analysis-based benchmark suite
RD Lang, AP Engelbrecht - Algorithms, 2021 - mdpi.com
The choice of which objective functions, or benchmark problems, should be used to test an
optimization algorithm is a crucial part of the algorithm selection framework. Benchmark …
optimization algorithm is a crucial part of the algorithm selection framework. Benchmark …
Survivor selection in a crossoverless evolutionary algorithm
The plant propagation algorithm is a crossoverless population based evolutionary algorithm,
defaultly deploying the plus-selection method for survivor selection-combining parents and …
defaultly deploying the plus-selection method for survivor selection-combining parents and …
A local optima network view of real function fitness landscapes
M Tomassini - Entropy, 2022 - mdpi.com
The local optima network model has proved useful in the past in connection with
combinatorial optimization problems. Here we examine its extension to the real continuous …
combinatorial optimization problems. Here we examine its extension to the real continuous …