Review of deep learning algorithms and architectures
A Shrestha, A Mahmood - IEEE access, 2019 - ieeexplore.ieee.org
Deep learning (DL) is playing an increasingly important role in our lives. It has already made
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …
Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions
The development and application of evolutionary algorithms (EAs) and other metaheuristics
for the optimisation of water resources systems has been an active research field for over …
for the optimisation of water resources systems has been an active research field for over …
Automating biomedical data science through tree-based pipeline optimization
RS Olson, RJ Urbanowicz, PC Andrews… - … 2016, Porto, Portugal …, 2016 - Springer
Over the past decade, data science and machine learning has grown from a mysterious art
form to a staple tool across a variety of fields in academia, business, and government. In this …
form to a staple tool across a variety of fields in academia, business, and government. In this …
Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently
The amino acid sequence of a protein affects both its structure and its function. Thus, the
ability to modify the sequence, and hence the structure and activity, of individual proteins in …
ability to modify the sequence, and hence the structure and activity, of individual proteins in …
Evolutionary multiobjective optimization in water resources: The past, present, and future
This study contributes a rigorous diagnostic assessment of state-of-the-art multiobjective
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
evolutionary algorithms (MOEAs) and highlights key advances that the water resources field …
[图书][B] Evolutionary computation: toward a new philosophy of machine intelligence
DB Fogel - 2006 - books.google.com
This Third Edition provides the latest tools and techniques that enable computers to learn
The Third Edition of this internationally acclaimed publication provides the latest theory and …
The Third Edition of this internationally acclaimed publication provides the latest theory and …
Robust optimization–a comprehensive survey
HG Beyer, B Sendhoff - Computer methods in applied mechanics and …, 2007 - Elsevier
This paper reviews the state-of-the-art in robust design optimization–the search for designs
and solutions which are immune with respect to production tolerances, parameter drifts …
and solutions which are immune with respect to production tolerances, parameter drifts …
Evolutionary computation: a unified approach
K De Jong - Proceedings of the Genetic and Evolutionary …, 2017 - dl.acm.org
Proceedings of the Genetic and Evolutionary Computation Conference Companion:
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
Evolutionary computation: a unified approach Page 1 1 Evolutionary Computation: A …
[图书][B] Signals and boundaries: Building blocks for complex adaptive systems
JH Holland - 2012 - books.google.com
An overarching framework for comparing and steering complex adaptive systems is
developed through understanding the mechanisms that generate their intricate …
developed through understanding the mechanisms that generate their intricate …
State of the art for genetic algorithms and beyond in water resources planning and management
During the last two decades, the water resources planning and management profession has
seen a dramatic increase in the development and application of various types of …
seen a dramatic increase in the development and application of various types of …