GreenGEC 2013
Green and Efficient Energy Applications of
Genetic and Evolutionary Computation
Organized by: Alexandru-Adrian Tantar, Emilia Tantar and Peter A.N. Bosman
Workshop as part of the Genetic and Evolutionary Computation Conference (GECCO 2013)
on July 6-10, 2013 (Saturday - Wednesday), Amsterdam, The Netherlands
Workshop date: July 7, 2013
Global increases in living standards, diminishing natural
resources and environmental concerns place energy amongst the most
important global issues today. On the consumer side, there is an
increasing need for more efficient, smart, uses of energy, be it
in large-scale computing systems and data warehouses, in homes or
in office buildings. On the producer side, there is a push toward
the use of sustainable, green, energy sources, which often come in
the form of less reliable sources such as wind energy. In
addition, future energy systems are often envisioned to be
"smart", consisting of massive amounts of small generators, such
as solar panels, located at consumers, effectively turning
consumers into potential producers whenever they have a surplus of
energy. The management, control and planning of, and efficient use
of energy in (future) energy systems brings about many important
challenges.
Energy systems are not only real-world systems, they are also one
of the most important foundations of the modern world. Especially
with the upcoming required changes to make more efficient use of
energy and to shift towards a global use of sustainable, green
energy sources, there are many challenges in mathematics and
computer science. Real-world challenges, such as those arising in
(future) energy systems, are typically highly complex because of
the many aspects to be considered that are often disregarded in
theoretical research such as dynamic changes, uncertainty and
multiple objectives. In many situations therefore,
problem-specific algorithms are infeasible or impractical.
Instead, flexible and powerful approaches such as evolutionary
algorithms (EAs) can often provide viable solutions. Typical
real-world challenges that are addressed by EAs are of the
optimization type. This covers the use of EAs to optimize issues
ranging from energy consumption (e.g. scheduling, memory/storage
management, communication protocols, smart sensors, etc.) to the
planning and design of energy systems at many levels, ranging from
small printed circuit boards to entire transmission networks.
The aim of this workshop is to bring together researchers
interested in addressing challenging issues related to the use of
evolutionary computation for applications in (future) energy
systems.
The workshop covers all energy-related applications of
evolutionary computation, including but not limited to:
- planning of (future) (smart) energy systems
- network design optimization
- management and control of (future) (smart) energy systems
- stability of smart energy systems
- dynamic demand and supply matching in smart energy systems
- smart homes, buildings, offices, streets, ...
- energy-efficient optimization and its applications
- energy-efficient scheduling algorithms
- optimization of energy-efficient protocols
- modeling-representations, simulation and validation for energy consumption optimization problems
- large scale and high-dimensional energy-efficient optimization
- energy-aware smart grids
- thermal optimization in cloud computing/data centers
- online dynamic optimization for energy efficient systems
- energy optimization in uncertain environments
- learning and anticipation
- robustness and performance guarantees
- real-world energy efficient optimization problems
- management and profiling tools for energy efficient systems
Both theoretical papers and papers describing practical
experiences are welcome.
