Evolutionary algorithms work in an algorithmically simple manner but produce a vast amount of data. The extraction of useful information to gain further insight into state and course of the algorithm is a non-trivial task. In this paper we present a set of standard visualization techniques for different data types and time frames of the evolutionary algorithm. The methods were selected accordin...

This article presents typical ship collision scenarios, simulated using the evolutionary path planning system and analyses the impact of the fitness function scaling on the quality of the solution. The function scaling decreases the selective pressure, which facilitates leaving the local optimum in the calculation process and further exploration of the solution space. The performed investigatio...

In this paper, we examine the emergence of resources. Our analysis of technological capability acquisition by global U.S.-based chemical firms shows that the emergence of resources is inherently evolutionary. We find that path-creating search that generates resource heterogeneity is a response to idiosyncratic situations faced by firms in their local searches. Two such idiosyncratic situations—...

background: computational identification of phylogenetic motifs helps to understand the knowledge about known functional features that includes catalytic site, substrate binding epitopes, and protein-protein interfaces. furthermore, they are strongly conserved among orthologs, indicating their evolutionary importance. the study aimed to analyze five candidate genes involved in type ii diabetic ...

Orthogonal Frequency Division Multiplexing (OFDM) has become a very popular method for high data rate wireless communications because of its advantages over single carrier modulation schemes on multi-path, frequency selective fading channels. However, inter-carrier interference due to Doppler frequency shifts, and multipath fading severely degrades the performance of OFDM systems. Estimation of...

AbSTRACT This work is intended to give an overview of technologies, developed from an artificial intelligence standpoint, devised to face the different planning and control problems involved in trajectory generation for mobile robots. The purpose of this analysis is to give a current context to present the Evolutionary Robotics approach to the problem, which is now being considered as a feasibl...

Inverse Combinatorial Optimization has become a relevant research subject over the past decades. In graph theory, the Inverse Shortest Path Length problem becomes relevant when we don’t have access to the real cost of the arcs and want to infer their value so that the system has a specific outcome, such as one or more shortest paths between nodes. Several approaches have been proposed to tackle...

This commentary is a rejoinder to the Buss and Schmitt (2011) and Eagly and Wood (2011) commentaries concerning how evolutionary psychology and feminism might fit together. This rejoinder provides one path toward uniting these perspectives in psychological literature by accomplishing three tasks. First, this rejoinder addresses and removes conceptual confusions offered by Buss and Schmitt (2011...

Thirty years after its creation, C remains one of the most widely used systems programming languages. Unfortunately, the power of C has become a liability for large systems projects, which are now focusing on security and reliability. Modern languages and static analyses provide an opportunity to improve the quality of systems software, and yet adoption of these tools has been slow. To address ...