Design innovation for real world applications, using evolutionary algorithms

Authors:
E. Benkhelifa;G. Dragffy;A. G. Pipe;M. Nibouche
Affiliations:
Bristol Institute of Technology, Bristol Robotics Laboratory, University of the West of England;Bristol Institute of Technology, Bristol Robotics Laboratory, University of the West of England;Bristol Institute of Technology, Bristol Robotics Laboratory, University of the West of England;Bristol Institute of Technology, Bristol Robotics Laboratory, University of the West of England
Venue:
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
Year:
2009

Citing 8
Cited 2

Genetic programming: on the programming of computers by means of natural selection

Genetic programming: on the programming of computers by means of natural selection
Logic Minimization Algorithms for VLSI Synthesis

Logic Minimization Algorithms for VLSI Synthesis
Principles in the Evolutionary Design of Digital Circuits—Part I

Genetic Programming and Evolvable Machines
Principles in the Evolutionary Design of Digital Circuits—Part II

Genetic Programming and Evolvable Machines
Unconstrained Evolution and Hard Consequences

Papers from an international workshop on Towards Evolvable Hardware, The Evolutionary Engineering Approach
An Efficient Multi-Objective Evolutionary Algorithm for Combinational Circuit Design

AHS '06 Proceedings of the first NASA/ESA conference on Adaptive Hardware and Systems
Fitness Evaluation Expansion to Enhance GA'S Performance in Evolvable Hardware

AHS '08 Proceedings of the 2008 NASA/ESA Conference on Adaptive Hardware and Systems
Explorations in design space: unconventional electronics designthrough artificial evolution

IEEE Transactions on Evolutionary Computation

On the approximation ability of evolutionary optimization with application to minimum set cover

Artificial Intelligence
On the approximation ability of evolutionary optimization with application to minimum set cover: extended abstract

IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper discusses two important features of electronic design through evolutionary processes; creativity and innovation. Hence, conventional design methodologies are discussed and compared with their counterparts via evolutionary processes. An evolutionary search is used as an engine for discovering new designs for a real world application. Attempts to extract some useful principles from the evolved designs are presented and results are compared to conventional design topologies for the same problems.