This article surveys reinforcement learning from the perspective of optimization and control,
with a focus on continuous control applications. It reviews the general formulation …

This paper is the result of a literature study carried out by the authors. It is a review of the
different attempts made to solve the Travelling Salesman Problem with Genetic Algorithms …

Differentiable programming techniques are widely used in the community and are
responsible for the machine learning renaissance of the past several decades. While these …

An analogy with the way ant colonies function has suggested the definition of a new
computational paradigm, which we call ant system (AS). We propose it as a viable new …

Genetic algorithms have been used in science and engineering as adaptive algorithms for
solving practical problems and as computational models of natural evolutionary systems …

CSC535: Probabilistic Graphical Models Page 1 CSC380: Principles of Data Science
Introduction to Machine Learning Prof. Jason Pacheco TA: Enfa Rose George TA: Saiful Islam …

This book presents a unified view of evolutionary algorithms: the exciting new probabilistic
search tools inspired by biological models that have immense potential as practical problem …

This tutorial covers the canonical genetic algorithm as well as more experimental forms of
genetic algorithms, including parallel island models and parallel cellular genetic algorithms …

This article gives a comprehensive introduction into one of the main branches of
evolutionary computation–the evolution strategies (ES) the history of which dates back to the …

This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …