Evolutionary algorithm

Algorithm

World Wide Web

Engineering

Network topology

Embedded system

Theoretical computer science

Convergence (economics)

Operating system

Computation

Economics

Computer science

Electronic circuit

Evolutionary computation

Analogue electronics

Circuit design

Artificial intelligence

Electronic circuit design

Economic growth

Topology (electrical circuits)

USable

Electrical engineering

Engineering Applications of Artificial Intelligence

Designing an analog electrical circuit requires substantial effort and time by a highly-skilled designer. Many tools have been devised to aid engineers in the design procedure, from simulators to parameter optimization tools, which largely assist in fine-tuning the parameter values of circuits with predetermined topologies. In this paper, we propose a new approach to circuit optimization that is capable of searching not only for the parameter but also the topological space. Starting from a high-level statement describing a desired circuit functionality, the proposed method can either improve a given circuit, or create a novel topology with given resources, based on the Darwinian theory of evolutionary selection. Our method uses a global parameter optimization method PSADE to speed up evolutionary convergence. We use the proposed algorithm (both single- and multi-objective) to successfully evolve passive, active, and BiCMOS circuits.

Analog circuit topology synthesis by means of evolutionary computation