Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Reuse methodology manual: for system-on-a-chip designs
Reuse methodology manual: for system-on-a-chip designs
Genetic algorithms for VLSI design, layout & test automation
Genetic algorithms for VLSI design, layout & test automation
Evolutionary algorithms for VLSI CAD
Evolutionary algorithms for VLSI CAD
Efficient and Accurate Parallel Genetic Algorithms
Efficient and Accurate Parallel Genetic Algorithms
VHDL
VHDL, Hardware Description and Design
VHDL, Hardware Description and Design
An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters
EuroGP '01 Proceedings of the 4th European Conference on Genetic Programming
Evolutionary Algorithms for Embedded System Design
Evolutionary Algorithms for Embedded System Design
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Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very efficient on a large set of problems, but in general the high qualities can only be obtained by high run time costs. In the past several approaches based on parallel implementations have been studied to speed up EAs. In this paper we present a technique for the implementation of EAs in hardware based on a the concept of reusable modules. These modules are described in a Hardware Description Language (HDL). The resulting "hardware EA" can be directly synthesized and mapped to Application Specific Integrated Circuits (ASICs) or Field Programmable Gate Arrays (FPGAs). This approach finds direct application in signal processing, where hardware implementations are often needed to meet the run time requirements of a real-time system. In our prototype implementation we used VHDL and synthesized an EA for solving the OneMax problem. Simulation results show the feasibility of the approach. Due to the use of a standard HDL, the components can be reused in the form of a library.