We have developed a computational method that predicts the positions of active compounds, making it possible to increase activity as a fragment evolution strategy. We refer to the positions of these compounds as the active position. When an active fragment compound is found, the following lead generation process is performed, primarily to increase activity. In the current method, to predict the...

This paper presents a performance analysis of the recently proposed σ-self-adaptive weighted recombination evolution strategy (ES) with scaled weights. The steady state behavior of this ES is investigated for the non-noisy and noisy case, and formulas for the optimal choice of the learning parameter are derived allowing the strategy to reach maximal performance. A comparison between weighted mu...

We are searching for an unknown horizontal or vertical line in the plane under the competitive framework. We design a well-suited framework for all cylcic strategies that result in two-sequence functionals. For optimizing such functionals we apply a method that combines two main paradigms. The given solution shows that the combination method is of general interest. Finally, we obtain the curren...

In this work we consider the application of two metaheuristics, namely evolution strategies and scatter search, to the problem of fitting rectangular signals to time-data series. The application background is to search for exoplanet-transit signals in stellar photometric observation data.

We apply evolution strategies to optimize the instability growth of several pairs of vortices which model the wake of airplanes in landing configuration. For the case of two pairs, the evolution strategy finds a set of optimal parameters strikingly similar to those found in the linear stability analysis of Crouch (1997). The case of four pairs is also considered and leads to a larger distortion...

This paper deals with a new approach to modify software process models and their software processes. Such an approach, in contrast with existing ones, supports the different evolution strategies for the software process models, and allows the adaptation of software process during execution. The integration of these two types of evolution is based on a chaining of phases (generation/evolution/si...

This paper presents an approach based on the evolution strategy for autonomous learning of dextrous manipulation primitives with a dextrous robot hand. We use heuristics derived from observations made on human hands to reduce the degrees of freedom of the task and make learning possible. Our system does not rely on simulation; all the experimentation is performed the 16-degree-of-freedom Utah/M...

This paper studies the applicability of evolutionary algorithms, particularly, the evolution strategies family in order to estimate a degradation parameter in the shear design of reinforced concrete members. This problem represents a great computational task and is highly relevant in the framework of the structural engineering that for the first time is solved using genetic algorithms.

The research presented in this paper aims at realising an automated ontology evolution process based on feedback without a human inspection. For that, a generic adaptation strategy consisting of a feedback transformation strategy and an ontology evolution strategy is formulated. It decides when and how to evolve by evaluating the impact of the evolution in the precedent feedback cycle. These st...

Detection of code clones — similar or identical source code fragments — is of concern both to researchers and to practitioners. An analysis of the clone detection results for a single source code version provides a developer with information about a discrete state in the evolution of the software system. However, tracing clones across multiple source code versions permits a clone analysis to co...