Incremental checkpointing is an cost-efficient fault tolerant technique for long running programs such as genetic algorithms. In this paper, we derive the equations for the writing...
A Digital Waveguide Mesh is introduced as a method for acoustic modelling. Genetic Algorithms are applied to evolve the structure of a mesh to simulate the human throat and mouth, ...
Crispin H. V. Cooper, David M. Howard, Andrew M. T...
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
This paper proposes an evolutionary framework where a network service is created from a group of autonomous agents that interact and evolve. Agents in our framework are capable of ...
In this work, we investigate the ability of a Chunking GA (ChGA) to reduce the size of variable length chromosomes and control bloat. The ChGA consists of a standard genetic algori...