ICES 2014 - IEEE International Conference on Evolvable Systems (ICES 2014)

In the mid 1990's, researchers began applying Evolutionary Algorithms (EAs) on a kind of computer chip that could dynamically alter the functionality and physical connections of its circuits. This combination of EAs with programmable electronics (Field Programmable Gate Arrays (FPGAs) & Field Programmable Analogue Arrays (FPAAs) to give two examples) spawned a new field of Evolutionary Computation (EC) called Evolvable Hardware (EH).
Since that time the EH field has expanded beyond the use of EAs on simple electronic devices to encompass many different combinations of EAs and biologically inspired algorithms (BIAs) with various physical devices (or simulations of physical devices). Present research in the field of EH can be split into the two related areas of Evolvable Hardware Design (EHD) and Adaptive Hardware (AH).
Evolvable Hardware Design (EHD) is the use of EAs and BIAs for creating physical devices and designs, examples of where EHD has had some success include analogue and digital electronics, antennas, MEMS chips, optical systems as well as quantum circuits.
Adaptive Hardware as the name suggests uses EAs and BIAs to endow physical systems with some adaptive characteristics. These adaptive characteristics are required to construct more robust components and systems to allow them to continue to operate successfully in a changing environment. For example, a circuit on an FPGA that "evolved" to heal from radiation damage or an FPAA that can change its function as operational requirements change.
Held without interruption since 1995, ICES has become the leading conference in the field of evolvable hardware and systems. In a new and exciting move, ICES has joined the successful IEEE Symposium Series on Computational Intelligence, providing the possibility for increased interaction between ICES and the other symposiums and workshops.
Topics
The topics to be covered include (but are not limited to):
? Evolutionary hardware design
? Co-evolution of hybrid systems
? Intrinsic and extrinsic evolution
? Hardware/software co-evolution
? On-line hardware evolution
? Evolutionary optimization of hardware design
? Evolutionary robotics
? Autonomic and organic computing
? Evolutionary circuit diagnostics and testing
? Self-repairing and fault tolerant systems
? Self-reconfigurable and adaptive hardware
? Generative and developmental approaches
? Real-world applications of evolvable hardware
? MEMS and nanotechnology in evolvable hardware
? Formal models for bio-inspired hardware systems
? Novel devices/testbeds/tools for evolvable hardware (including bio-inspired computing on GPU)
? Smart Grid applications (in association with Symposium on Computational Intelligence Applications in Smart Grid)