144 citations · 175 across the 16 of their papers we have counts for
16 papers
AbCD: A Component-wise Adjustable Framework for Dynamic Optimization Problems
Alexandre Mascarenhas, Yuri Lavinas, Claus Aranha
Dynamic Optimization Problems (DOPs) are characterized by changes in the fitness landscape that can occur at any time and are common in real world applications. The main issues to…
Multiobjective Evolutionary Component Effect on Algorithm behavior
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1
The performance of multiobjective evolutionary algorithms (MOEAs) varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simpli…
An agent-based approach to procedural city generation incorporating Land Use and Transport Interaction models
Luiz Fernando Silva Eugênio dos Santos, Claus Aranha, André Ponce de Leon F de Carvalho
We apply the knowledge of urban settings established with the study of Land Use and Transport Interaction (LUTI) models to develop reward functions for an agent-based system capabl…
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…
A Novel Weighted Ensemble Learning Based Agent for the Werewolf Game
Mohiuddeen Khan, Claus Aranha
Werewolf is a popular party game throughout the world, and research on its significance has progressed in recent years. The Werewolf game is based on conversation, and in order to…
Component-wise Analysis of Automatically Designed Multiobjective Algorithms on Constrained Problems
Yuri Lavinas, Marcelo Ladeira, Gabriela Ochoa +1
The performance of multiobjective algorithms varies across problems, making it hard to develop new algorithms or apply existing ones to new problems. To simplify the development an…