Adaptive Critics for Evolutionary Artists

On the Development of Critics in Evolutionary Computation Artists

One of the problems in the use of evolutionary computer systems in artistic tasks is the lack of artificial models of human critics. In this paper, based on the state of the art and on our previous related work, we propose a general architecture for an artificial art critic, and a strategy for the validation of this type of system. The architecture includes two modules: the analyser, which does...

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Co-Evolving Line Drawings with Hierarchical Evolution

We use an adversarial approach inspired by biological coevolution to generate complex line drawings without human guidance. Artificial artists and critics work against each other in an iterative competitive framework, forcing each to become increasingly sophisticated to outplay the other. Both the artists and critics are implemented in hercl, a framework combining linear and stack-based Genetic...

Adaptive Rule-Base Influence Function Mechanism for Cultural Algorithm

This study proposes a modified version of cultural algorithms (CAs) which benefits from rule-based system for influence function. This rule-based system selects and applies the suitable knowledge source according to the distribution of the solutions. This is important to use appropriate influence function to apply to a specific individual, regarding to its role in the search process. This rule ...

In 1974, the young and aspiring Chicago- based artists

based artists Lyn Blumenthal and Kate Horsfield began videotaping informal interviews with women artists. In the years that followed, as both Blumenthal and Horsfield completed MFA degrees at the School of the Art Institute and established the Video Data Bank (VDB) there in 1976, the two continued to collaboratively videotape interviews, formalizing the interview series under the name On Art an...