Skin cancer has been the most common and represents 50% of all new cancers detected each year. If detected at an early stage, simple and economic treatment can cure it mostly. Accurate skin lesion segmentation is critical in automated early skin cancer detection and diagnosis systems. In this paper, we propose an Evolution Strategies (ES) based segmentation algorithm to identify the lesion area...

An evolution strategy to estimate emission source distributions on a regional scale from atmospheric observations P. O’Brien, D. Corcoran, and D. Lowry Martin Ryan Marine Science Institute, National University of Ireland Galway, Ireland Physics Department, University of Limerick, Ireland Department of Geology, Royal Holloway University of London, UK Received: 20 December 2002 – Accepted: 4 Marc...

This paper studies non-cooperative population games with several individual states and independent Markov process. Each member of each class of the population has (i) its own state (ii) its actions in each state, (iii) an instantaneous reward which depends on its state and the population’s profile, (iv) a time-average (coupled) constraints. We apply this model to battery-dependent power control...

The purpose of this paper is to show that for a dense G set of three smooth convex bodies with nowhere vanishing curvature in the C topology k the open billiard obtained from these convex bod ies determines a potential the one that de nes the natural escape measure of this billiard which is non lattice This result generalizes one of the results obtained in a previous work of A Lopes and R Marka...

aces in the audience on the 25th of January! "How to win a house job" is not a subject to which there is a short answer, but rather one in which the importance lies ln the summation of a lot of minor points plus a few more major and more definite ?nes, so I shall give a general factual background and then some more detailed advice. The factual background I decided to obtain from a questionnaire...

Several evolutionary approaches have been applied to global optimization problems with significant success. Evolution strategies proved to be efficient global optimizers. However, these algorithms have several parameters which the setting is not simple. Thus, it is crucial to investigate how to set dynamically these parameters during the search. In this paper, a new parameter-less evolution str...

An approach to robotics called layered evolution and merging features from the subsumption architecture into evolutionary robotics is presented, and its advantages are discussed. This approach is used to construct a layered controller for a simulated robot that learns which light source to approach in an environment with obstacles. The evolvability and performance of layered evolution on this t...

The multi-membered Evolution Strategy (ES) acting on parents and oospring is analyzed for real-valued, N-dimensional parameter spaces (N > 30). N-dependent progress rate formulas are derived for (1;) and (;) strategies on spherical models. The analytical results obtained are compared with simulation experiments for the (hyper)sphere and the inclined (hyper)plane.

Change operators are the building blocks of ontology evolution. Elementary, composite and complex change operators have been suggested. While lower-level change operators are useful in terms of finegranular representation of ontology changes, representing the intent of change requires higher-level change operators. Here, we focus on higherlevel composite change operators to perform an aggregate...

Robustness is an important requirement for almost all kinds of products. In this article we show how evolutionary algorithms can be applied for robust design based on the approach of Taguchi. As an example we consider the design of multilayer optical coatings most frequently used for optical lters.