Evolutionary Algorithms

The use of evolutionary computation for optimisation is a relevant area of research in many fields of science and the industry, where …

Here we present an extension for EvoLP.jl for creating island models of genetic algorithms, and show how it works on multiple multimodal functions.

Optimisation is highly relevant in many problems in artificial intelligence, machine learning, engineering and statistics. In these …

In this short talk I present EvoLP.jl, a playground for evolutionary computation in Julia.

EvoLP is a playground for evolutionary computation in Julia. It provides a set of predefined building blocks that can be coupled together to quickly generate evolutionary computation solvers and compute statistics for a variety of optimisation tasks, including discrete, continuous and combinatorial optimisation.

In this short talk I present EvoLP.jl, a playground for evolutionary computation in Julia.

Recent years have witnessed a growing interest in automatic learning mechanisms and applications. The concept of hyper-heuristics, …

Please see the slides for a more detailed explanation. DEAP Short Tutorial DEAP (Distributed Evolutionary Algorithms for Python) is a Python module which provides you with tools to easily implement evolutionary computation algorithms.

Recent years have witnessed an escalating interest for methods that automatically adapt to different types of problems. In this regard, …