The performance of multiobjective evolutionary algorithms (MOEAs) varies...
When simulating soft robots, both their morphology and their controllers...
We apply the knowledge of urban settings established with the study of L...
We introduce Knowledge-Driven Program Synthesis (KDPS) as a variant of t...
Werewolf is a popular party game throughout the world, and research on i...
The performance of multiobjective algorithms varies across problems, mak...
Understanding the search dynamics of multiobjective evolutionary algorit...
The Resource Allocation approach (RA) improves the performance of MOEA/D...
The Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/...
The GDMC AI settlement generation challenge is a PCG competition about
p...
Finding good solutions for Multi-objective Optimization (MOPs) Problems ...
Portfolio optimization is a financial task which requires the allocation...
Recent studies on resource allocation suggest that some subproblems are ...
The analysis of electroencephalogram (EEG) waves is of critical importan...
In this paper we propose the use of Generative Adversarial Networks (GAN...
Recently, deep convolutional neural networks have shown good results for...
Multiobjective Evolutionary Algorithms based on Decomposition (MOEA/D)
r...