The image synthesis technique is relatively well established which can generate facial images that are indistinguishable even by human beings. However, all of these approaches uses gradients to condition the output, resulting in outputting same with input. Also, they only basic expression or mimic an instead generating compound expression. In real life, however, expressions great diversity and ...

This chapter addresses the integration of knowledge discovery in databases (KDD) and evolutionary algorithms (EAs), particularly genetic algorithms and genetic programming. First we provide a brief overview of EAs. Then the remaining text is divided into three parts. Section 2 discusses the use of EAs for KDD. The emphasis is on the use of EAs in attribute selection and in the optimization of p...

Evolution does not require DNA, or even living organisms. In computer science, the field known as 'evolutionary computation' uses evolution as an algorithmic tool, implementing random variation, reproduction and selection by altering and moving data within a computer. This harnesses the power of evolution as an alternative to the more traditional ways to design software or hardware. Research in...

Evolutionary Computation is a general term for a group of techniques which solve complex problems quickly and efficiently by using principles derived from biological evolution and genetics. The two most prominent methods are genetic algorithms and genetic programming. The classic references are Holland (1975) for genetic algorithms (GAs) and Koza (1992) for genetic programming (GPs). Fundamenta...