Improving problem definition through interactive evolutionary computation

Improving problem definition through interactive evolutionary computation

Poor definition and uncertainty are primary characteristics of conceptual design processes. During the initial stages of these generally human-centric activities, little knowledge pertaining to the problem at hand may be available. The degree of problem definition will depend on information available in terms of appropriate variables, constraints, and both quantitative and qualitative objective...

Music Composition with Interactive Evolutionary Computation

The interactive evolutionary computation (IEC), i.e., an evolutionary computation whose fitness function is provided by users, has been applied to aesthetic areas, such as art, design and music. We cannot always define fitness functions explicitly in these areas. With IEC, however, the user's implicit preference can be embedded into the optimization system. This paper describes a new approach t...

Interactive Evolutionary Computation in System Identification

In practical system identification it is often desirable to introduce additional objectives and constraints into the identification problem. In some cases, these objectives and constraints are often non-commensurable and the objective functions are explicitly/mathematically not available. In this paper, Interactive Evolutionary Computation (IEC) is used to effectively handle these identificatio...

Design and Measurement with Interactive Evolutionary Computation

Interactive Evolutionary Computation for Analyzing Human Characteristics

We emphasize that interactive evolutionary computation (IEC) can be used not only to optimize a target system based on an IEC user’s subjective evaluations but also to analyze the characteristics of the IEC user. We introduce four research works as concrete examples of this new research direction: measuring a perceived range for emotional expressions, finding unknown auditory knowledge through ...