This paper proposes the compact differential evolution (cDE) algorithm. cDE, like other
compact evolutionary algorithms, does not process a population of solutions but its statistic …

Some real-world optimization problems are plagued by a limited hardware availability. This
situation can occur, for example, when the optimization must be performed on a device …

For many evolvable hardware applications, small size and power efficiency are critical
design considerations. One manner in which significant memory, and thus, power and space …

This paper proposes a novel and unconventional Memetic Computing approach for solving
continuous optimization problems characterized by memory limitations. The proposed …

Primary Examiner—Lut Wong (74) Attorney, Agent, or Firm—Cameron LLP (57) ABSTRACT
A circuit element of a multi-dimensional dynamic adaptive neural network array (DANNA) …

2014-11-12 Assigned to UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION
reassignment UNIVERSITY OF TENNESSEE RESEARCH FOUNDATION ASSIGNMENT OF …

A method and apparatus for constructing a neuroscience-inspired artificial neural network
(NIDA) or a dynamic adaptive neural network array (DANNA) or combinations of …

A method and apparatus for constructing one of a neuroscience-inspired artificial neural
network and a neural network array comprises one of a neuroscience-inspired dynamic …

A parallel compact Differential Evolution (pcDE) algorithm is proposed in this paper. The
population is separated into multiple groups and the individual is run by using the method of …

A digital circuit element of a two dimensional dynamic adaptive neural network array
(DANNA) may comprise a neuron/synapse select input functional to select the digital circuit …