Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Our approach to the spatial coordination problem relies on parametrized force fields. Through a quantitative comparison on a complex spatial coordination problem treated with a s...
An approach is proposed for generating homogenous three-staged cutting patterns for the constrained two-dimensional guillotinecutting problems of rectangles. It is based on branch...
Evolutionary algorithms (EAs) are regularly used both for the solution of scheduling problems, and for the creation of digital circuit designs. This paper describes a unified app...