Designing more sustainable urban infrastructure is an essential topic in practice and research. While many have tried to address this challenge by focusing on sustainability of …
We introduce a technique that leverages the power of indirect encodings (IE) from the field of evolutionary computation to improve the speed of evolution in transfer learning control tasks …
The integration of multiobjective optimizers with inverse models—that map points on the Pareto front to corresponding nondominated solutions—has drawn attention. These inverse …
Evolutionary Algorithms (EA) are a set of algorithms inspired by Darwin's theory of Natural Selection that are well equipped to perform a wide variety of optimisation tasks. Due to their …
Urban areas cover a small portion of the earth, yet they accommodate a majority of the world population and are associated with a majority of the global energy use and greenhouse gas …
Los problemas de optimización multiobjetivo complejos se pueden resolver de diferentes maneras. Una de las posibles técnicas para su resolución es mediante metaheurísticas …