Evolutionary medicine is a growing area of research and practice; however, it not widely discussed in introductory biology courses. Because the interest human biology, using evolutionary great way to hold students’ interest, placing topics context, making subject evolution relevant. Too often students lose learning about because they think pertinent. The pedagogical technique case studies class...

This open access book provides a solution theory for time-dependent partial differential equations by using new unified method.

| Adaptation of parameters and operators is one of the most important and promising areas of research in evolutionary computation; it tunes the algorithm to the problem while solving the problem. In this paper we develop a classiication of adaptation on the basis of the mechanisms used, and the level at which adaptation operates within the evolutionary algorithm. The classiication covers all fo...

We evaluate the convergence speed of an Interactive Evolutionary Computation (IEC) using a rating-scale mapping for user fatigue reduction. First, we introduce the concept of mapping users' relative ratings to an “absolute scale”; this allows us to improve the performance of the IEC subjective evaluation characteristic predictor, which can in turn accelerate EC convergence and reduce user fatig...

Geometrical place can be sometimes difficult to find by applying mathematical methods. Evolutionary algorithms deal with a population of solutions. This population (initially random generated) is evolved using genetic operators. Population obtained after a specified number of iterations will contain solutions which (very likely) accomplish the geometrical place problem conditions. Geometrical p...

|Adaptation of parameters and operators is one of the most important and promising areas of research in evolutionary computation; it tunes the algorithm to the problemwhile solving the problem. In this paper we develop a classi cation of adaptation on the basis of the mechanisms used, and the level at which adaptation operates within the evolutionary algorithm. The classi cation covers all form...

In this paper we present an efficient decomposition technique to speed up evolutionary algorithms when dealing with large scale optimization problems. Divide and conquer methods aim to solving problems in smaller entities and then combining the sub-solutions to form complete solutions. Often the optimal way to divide the problem varies as the evolutionary algorithm proceeds, thus making a stati...

An approach for exploring novelty in expression-based evolutionary art systems is presented. The framework is composed of a feature extractor, a classifier, an evolutionary engine and a supervisor. The evolutionary engine exploits shortcomings of the classifier, generating misclassified instances. These instances update the training set and the classifier is re-trained. This iterative process f...