Resum This paper deals with an NP-hard string problem from the bio-informatics field: the repetition-free longest common subsequence problem. This problem has enjoyed an increasing interest in recent years, which has resulted in the application of several pure as well as hybrid metaheuristics. However, the literature lacks a comprehensive comparison between those approaches. Moreover, it has be...

In this work, a hybrid, self-configurable, multilayered and evolutionary architecture for cognitive agents is developed. Each layer of the subsumption architecture is modeled by one different Machine Learning System MLS based on bio-inspired techniques. In this research an evolutionary mechanism supported on Gene Expression Programming to self-configure the behaviour arbitration between layers ...

Bio: Jiawei Zhang is an Associate Professor of Operations Management and Harold MacDowell Faculty Fellow at the Stern School of Business, New York University. He received a B.S. degree in Applied Mathematics and an M.S. degree in Operations Research from Tsinghua University, and a Ph.D. in Operations Research from Stanford University. His research interests include mathematical programming and ...

statement of problem: the guided bone regeneration (gbr) technique does not always produce consistent results. bone filling within the space provided by the membrane can be incomplete. purpose: the aim of this study was to evaluate the effect of a collagen membrane (bio-gide) in combination with or without deproteinezed bovine bone mineral (bio-oss) on the healing of calvarial defects in rabbit...

This paper describes a new multi-agent architecture for the Evolutionary Virtual Agent project. It introduces the nano-agent bio-inspired control architecture and its nanoScheme programming language. A typical application consists of one or more nano-agents, and possibly up to a large number if necessary as in natural swarms. As an example, it describes an online self-animated character that us...

In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architecture is modeled by one different Reinforcement Machine Learning System (RMLS) based on bio-inspired techniques. In this research an evolutionary mechanism based on Gene Expression Programming to self-configure the behaviour ...

.IQuick description Based on the data-morphing, an innovating technology, ISoft Amadea Biopack allows biologists and physicians to define and publish on the web, without programming, their own pipeline of data processing for transcriptome, genome, proteome, etc. The platform offers simple and fast analysis modules using and linking instantaneously all algorithms and biological data banks with t...

In this paper, we present a current cooperative work involving different institutes around the world. Our aim is to provide an online Inductive Logic Programming tool. This is the first step in a more complete structure for enabling e-technology for machine learning and bio-informatics. We describe the main architecture of the project and how the data will be formatted for being sent to the ILP...