2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.NE2024
Evolving Benchmark Functions to Compare Evolutionary Algorithms via Genetic Programming
Yifan He, Claus Aranha
In this study, we use Genetic Programming (GP) to compose new optimization benchmark functions. Optimization benchmarks have the important role of showing the differences between e…
cs.NE2022
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives
Yifan He, Claus Aranha, Tetsuya Sakurai
We introduce Knowledge-Driven Program Synthesis (KDPS) as a variant of the program synthesis task that requires the agent to solve a sequence of program synthesis problems. In KDPS…
cs.NE2020★ 2 cited
Solving Portfolio Optimization Problems Using MOEA/D and Levy Flight
Yifan He, Claus Aranha
Portfolio optimization is a financial task which requires the allocation of capital on a set of financial assets to achieve a better trade-off between return and risk. To solve thi…