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SICE Annual Conference

作者： Y. Matsuya K. Hirasawa J. Hu J. Murata Graduate Sch. of Inf. Sci. & Electr. Eng. Kyushu Univ. Fukuoka Japan Graduate School of Information Science and Electrical Engineering Kyushu University Fukuoka Japan

Many evolutionary computation methods have been studied. Recently, a new method called Genetic Network programming (GNP), which is based on genetic algorithms and genetic programming has been proposed. GNP has a network structure and can search for solutions effectively. GNP has been mainly applied to dynamic problems. In this paper, GNP is extended to generating programs in the static environment.

关键词： automatic programming Economic indicators Genetic programming Genetic mutations Evolutionary computation Genetic algorithms Information science Tree data structures Character generation

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Synchronous programming of automatic control applications using ORCCAD and ESTEREL

Synchronous programming of automatic control applications us...

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IEEE Conference on Decision and Control

作者： D. Simon A. Girault INRIA BIP project ZIRST Saint Ismier France

automatic control systems are typical examples of hybrid systems where continuous time aspects, related to control laws, must be carefully merged with discrete-time aspects related to control switches and exception handling. These two aspects interact in real-time to ensure the nominal behavior of the system and allow for safe and graceful degradation. In a mixed synchronous/asynchronous approach, ranging from user requirements to run-time code, ORCCAD provides formalized control structures, the coordination of which is specified using the ESTEREL synchronous language. ORCCAD is actually a set of CAD tools, that have been designed and integrated to help the users through programming, formal verification, real-time code generation, and implementation processes.

关键词： automatic programming automatic control Control systems Real time systems Robotics and automation Application software Data flow computing Flow graphs Switches Degradation

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An automatic scaling method for the programming of fixed-point digital signal processors

An automatic scaling method for the programming of fixed-poi...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Wonyong Sung ISRC and Department of Control and Instrumentation Seoul National University Seoul South Korea

The use of fixed-point digital signal processors required a scaling of data at each arithmetic step to prevent overflows while keeping the accuracy. A development method which can automate this process is proposed. The programming uses a model of a hypothetical floating-point digital signal processor and a floating-point format for data representation. However, the program and data are automatically translated to fixed-point counterparts in order not to sacrifice the execution speed. To derive this method, an internal data representation method which consists of the mantissa, the exponent, and the range is employed. A pre-scaling-type fixed-point ALU architecture is used for the development of the proposed method.< >

关键词： automatic programming Digital signal processors Hardware Signal processing Assembly Floating-point arithmetic programming profession Fixed-point arithmetic automatic control Instruments

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automatic Behavior Generation in a Multi-Agent System through Evolutionary programming

Automatic Behavior Generation in a Multi-Agent System throug...

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IEEE Latin American Robotics Symposium, LARS

作者： Tapia Jose Juan Reyes-Rico Carlos Ramirez Jorge Tecnológico de Monterrey Campus Estado de México Proyecto Robots Cuadrúpedos Atizapan Estado de Mexico Mexico

The purpose of this project is to develop a system that is able to generate strategies for the multi-agent system proposed by the RoboCup Four-Legged league. This system starts with different soccer match situations established by the user, and uses evolutionary programming as a means to make the process automatic. Given the nature of soccer, it is easy to see that the different situations that make up this game can have radically different local objectives, even if the ultimate goal of the game is one and the same: to score more goals than your opponent. This is why the system will focus on generating strategies for very specific scenarios (for example, the behavior a goalkeeper must take when it is kicking off and it has an opponent player in front of him), that will both allow us to adjust the fitness function as much as possible, and to generate state machines that are as specialized and optimized as they can be for the situation they focus on. The aforementioned system runs over a simulator developed by Vega et al. (2006), which takes behaviors defined in XML as state machines in order to define players from these data. This gives us both the advantage of quickly testing the validity of the results obtained from a given run of the behavior generator, and it also allows us to easily adapt these results on the AIBOs on later stages. The present paper details work done so far to generate complex behaviors with a genetic algorithm and shows that this is possible. At the moment the system is working generating simple behaviors, which will be later the base of complex behaviors

关键词： Multiagent systems automatic programming Genetic programming Computer science Testing Genetic algorithms Robot programming Robotics and automation XML Shape

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automatic Absolute Radiometric Normalization of Satellite Imagery with ENVI/IDL programming

Automatic Absolute Radiometric Normalization of Satellite Im...

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Congress on Image and Signal Processing, CISP

作者： Chunhua Li Hanqiu Xu Key Laboratory of Humid Subtropical Eco-Geographical Process Ministry of Education College of Geography Fujian Normal University Fuzhou China College of Environment and Resources Fuzhou University Fuzhou China

Up to present no publication has the detailed description of how to automatically perform the absolute radiometric normalization for satellite imagery based on the Illumination Correction Model (ICM) and Illumination and Atmospheric Correction Model (IACM). In order to achieve the goal, the ENVI/IDL programming method was applied in this study that used ENVI library to extend ENVI and simplify writing routine. It controls complicated routines with no user interaction. Furthermore, the tiling method was implemented when encountering the memory limitation in processing mass remote sensing data.

关键词： Radiometry Satellite broadcasting automatic programming Remote sensing Lighting Atmospheric modeling Tiles Image processing Information processing Memory management

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automatic generation of nonlinear optimal control laws for broom balancing using evolutionary programming

Automatic generation of nonlinear optimal control laws for b...

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IEEE International Conference on Evolutionary Computation

作者： K. Chellapilla Department of Electrical & Computer Engineering University of California San Diego La Jolla CA USA

The paper explores the use of mutatian operators with evolutionary programming (EP) to automatically generate time optimal "bang-bang" type control laws for the three dimensional broom balancing (inverted pendulum) problem. EP produces a time optimal nonlinear control strategy that takes the state variables as input and determines the direction of the "bang-bang" force to be applied. Preliminary results indicate that the control laws generated are capable of generalizing over previously unseen input states and compare well with nonlinear control laws that were generated using other evolutionary computation methods.

关键词： Optimal control Control systems Genetic programming automatic programming Genetic mutations automatic generation control automatic control Force control Evolutionary computation Cost function

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THE ORIGINS OF COMPUTER-programming

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IEEE ANNALS OF THE HISTORY OF COMPUTING 1994年第4期16卷 6-14页

作者： RANDELL, B Dept. of Comput. Sci. Newcastle upon Tyne Univ. UK

This article describes some of the early developments that can now be viewed as steps toward the development of program control and the modern concept of a stored program. In particular, it discusses early automatic devices, Babbage's contributions set against a background of the technology of his day, the contributions of some of his direct successors, and the genesis of the stored-program idea.

关键词： programming History Computer programming Origins Program Control Stored Program Babbage automatic Devices Early Automata History Art automatic Control Engine Cylinders automatic programming Qualifications Educational Institutions Automata Modems Pervasive Computing

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Evolving Head Tracking Routines With Brain programming

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IEEE ACCESS 2018年 6卷 26254-26270页

作者： Olague, Gustavo Hernandez, Daniel E. Clemente, Eddie Chan-Ley, Mariana Ctr Sci Res & Higher Educ Ensenada Dept Comp Sci Ensenada 22860 Baja California Mexico Tijuana Inst Technol TecNM Tijuana 22414 Mexico Ensenada Inst Technol TecNM Ensenada 22780 Baja California Mexico

Visual tracking has long been studied in computer vision, and it has many practical applications such as surveillance and security, traffic control, human-computer interaction, and activity or behavior recognition to mention but a few. Head tracking attempts to follow a person's head within a video sequence. This paper presents a methodology that automatically designs an artificial dorsal stream for the problem of head tracking. Multiple visual operators are synthesized to obtain several visual and conspicuity maps that are fused into a saliency map, which is converted to a binary image, thus defining the proto-object. The automatic design of visual attention programs for the problem of head tracking is achieved through an optimization process following the Darwinian paradigm of artificial evolution. Artificial brains are synthesized using multiple visual operators embedded within a complex hierarchical procedure consisting of several key processes such as center-surround mechanisms, normalization, and pyramid-scale processes. The proposed strategy robustly handles many difficulties including occlusion, distraction, and illumination, and the resulting programs are real-time systems that are able to track a person's head with enough accuracy to automatically control the camera. Extensive experimentation shows that the proposed method outperforms several state-of-the-art methods in the challenging problem of head tracking.

关键词： automatic programming brain modeling deep genetic programming deep learning learning optimization proto-object saliency surveillance tracking trajectory visual attention

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Solving differential equations with artificial bee colony programming

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SOFT COMPUTING 2020年第23期24卷 17991-18007页

作者： Boudouaoui, Yassine Habbi, Hacene Ozturk, Celal Karaboga, Dervis MHamed Bougara Univ Boumerdes Appl Automat Lab Boumerdes 35000 Algeria Erciyes Univ Engn Fac Comp Engn Dept TR-38039 Kayseri Turkey King Abdulaziz Univ Fac Comp & Informat Technol Dept Informat Syst Jeddah Saudi Arabia

Relying on artificial bee colony programming (ABCP), we present in this paper, for the first time, a novel methodology for solving differential equations. The three-phase evolving process of ABCP is managed to apply on the issue of recovering the exact solution of differential equations through a well-posed problem. In fact, the original ABCP model which has been initially developed for symbolic regression cannot be used directly as differential problems might have multiple outputs. Moreover, the definition of fitness function is a critical problem-dependent issue for model design. In this sense, a problem-specific ABCP algorithm is worked out in the present contribution. With the proposed algorithm, solution with multiple outputs can evolve under a multiple-tree framework toward the exact solution. For fitness function evaluation, different forms are derived for ordinary and partial differential equations by performing experiments with multiple runs. Results on several differential equations are reported and compared to other advanced methods to assess the feasibility and the potential of the proposed method. A computational performance evaluation is provided for the considered examples and completed with an additional study on the impact of key control parameters.

关键词： Differential equations Analytical solution automatic programming Artificial bee colony programming Swarm optimization

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Control programming Using Java

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IEEE INDUSTRIAL ELECTRONICS MAGAZINE 2008年第2期2卷 19-27页

作者： Lueder, Arndt Peschke, Joern Heinze, Michael Univ Magdeburg D-39106 Magdeburg Germany Univ Halle Wittenberg D-4010 Halle Germany Otto Von Guericke Univ Inst Ergon Mfg Syst & Automat Magdeburg Germany

Networking and distributed applications have an increasing relevance in industrial automation as the horizontal and vertical integration of control systems progresses. In this context, object-oriented programming concepts and languages like Java become more and more interesting for all levels of automation. Within this article the state of the art in real-time Java and its applicability in the automation domain are discussed and an example for an implementation of a run-time environment utilizing the real-time specification for Java (RTSJ) will be introduced.

关键词： Java Control systems automatic control Communication system control Electrical equipment industry Object oriented programming Manufacturing automation automatic programming Manufacturing industries Virtual machining

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