Self-adaptive software is one of the key discoveries in the field of evolutionary computation, originally invented in the framework of so-called Evolution Strategies in Germany. Self-adaptability enables the algorithm...
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ISBN:
(纸本)1852338660
Self-adaptive software is one of the key discoveries in the field of evolutionary computation, originally invented in the framework of so-called Evolution Strategies in Germany. Self-adaptability enables the algorithm to dynamically adapt to the problem characteristics and even to cope with changing environmental conditions as they occur in unforeseeable ways in many real-world business applications. In evolution strategies. self-adaptability is generated by means of an evolutionary search process that operates on the solutions generated by the method as well as on the evolution strategy's parameters. i.e.. the algorithm itself. By focusing on a basic algorithmic variant of evolution strategies. the fundamental idea of self-adaptation is outlined in this paper. Applications of evolution strategies for NuTech's clients include the whole range of business tasks. including R & D. technical design, control, production, quality control, logistics.. and management decision support. While such examples can, of course, not be disclosed we illustrate the capabilities of evolution strategies by giving some simpler application examples to problems occurring in traffic control and engineering.
The aim of surface reconstruction is to transfer the shape of physical objects, which have been sampled by tactile or optical scanning techniques. into computer-processable descriptions. Triangulation is the most comm...
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ISBN:
(纸本)1852338660
The aim of surface reconstruction is to transfer the shape of physical objects, which have been sampled by tactile or optical scanning techniques. into computer-processable descriptions. Triangulation is the most common surface model used in CAD/CAM systems. The processing time of a triangulation is decisively influenced by the number of sampling points. Hence, either the sampling points have to be reduced or efficient triangulations have to be found. Due to the fact. that. for interpolating triangulations the optimal distribution of the sampling points is generally difficult, to find, here, self-organizing dynamic meshes are applied. The complex problem to find the best discrete approximation of a surface using a dynamic triangulation and a simple distance measure is solved by an evolution strategy. A special node-spring description always encodes valid triangulations.
丛书名:
advanced information and knowledge processing
1000年
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. T...
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ISBN:
(数字)9781848002692
ISBN:
(纸本)9781848002685;9781447159391
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelli...
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ISBN:
(数字)9781849963299
ISBN:
(纸本)9781849963282;9781447125822
Robot intelligence has become a major focus of intelligent robotics. Recent innovation in computational intelligence including fuzzy learning, neural networks, evolutionary computation and classical Artificial Intelligence provides sufficient theoretical and experimental foundations for enabling robots to undertake a variety of tasks with reasonable performance. This book reflects the recent advances in the field from an advancedknowledgeprocessing perspective; there have been attempts to solve knowledge based information explosion constraints by integrating computational intelligence in the robotics context.
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