An Improved Genetic Algorithm for Pipe Network Optimization

An improved genetic algorithm (GA) formulation for pipe network optimization has been developed. The new GA uses variable power scaling of the fitness function. The exponent introduced into the fitness function is increased in magnitude as the GA computer run proceeds. In addition to the more commonly used bitwise mutation operator, an adjacency or creeping mutation operator is introduced. Finally, Gray codes rather than binary codes are used to represent the set of decision variables which make up the pipe network design. Results are presented comparing the performance of the traditional or simple GA formulation and the improved GA formulation for the New York City tunnels problem. The case study results indicate the improved GA performs significantly better than the simple GA. In addition, the improved GA performs better than previously used traditional optimization methods such as linear, dynamic, and nonlinear programming methods and an enumerative search method. The improved GA found a solution for the New York tunnels problem which is the lowest-cost feasible discrete size solution yet presented in the literature

A fractal set from the binary reflected Gray code

The permutation associated with the decimal expression of the binary reflected Gray code with N bits is considered. Its cycle structure is studied. Considered as a set of points, its self-similarity is pointed out. As a fractal, it is shown to be the attractor of an IFS. For large values of N the set is examined from the point of view of time series analysis

Real-Time Storage for Modern Telemetry Processing Systems

International Telemetering Conference Proceedings / October 28-31, 1985 / Riviera Hotel, Las Vegas, NevadaWith the ever increasing demands for higher data volumes and faster data rates, the real-time storage of data is consuming a vast majority of the conventional Telemetry system’s processing bandwidths. General purpose computers have traditionally shared the real-time functions of data storage and operator data and graphic displays. Although the power of the general purpose computer is increasing year-by-year, the telemetry data storage and display requirements are increasing at a far greater pace. Even the fastest host processors have proven incapable of keeping pace with these requirements. This paper will address an architectural approach to real-time storage that will relieve the host processor of this burden.International Foundation for TelemeteringProceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection

Material control system simulator user's manual

This report describes the use of a Material Control System Simulator (MCSS) program for determination of material accounting uncertainty and system response to particular adversary action sequences that constitute plausible material diversion attempts. The program is intended for use in situations where randomness, uncertainty, or interaction of adversary actions and material control system components make it difficult to assess safeguards effectiveness against particular material diversion attempts

Material Control System Simulator

Design and assessment of the material control aspect of nuclear safeguard systems requires consideration of three types of functional elements: (1) material handling or processing, (2) actions of adversaries in their attempt to divert nuclear materials from their normal containment, and (3) components of material control and accounting and physical security systems that detect and respond to stimuli generated by the adversary actions. This paper describes a Material Control System Simulator (MCSS) program that simplifies computer simulation of safeguard systems by providing predefined functional models of these three types of elements. Specification of model systems requires only data pertaining to the performance characterization of these functional elements, so users with no prior computer simulation or programming experience can model and study the dynamic performance of safeguard systems. The paper presents an overview of MCSS and an example diversion attempt simulation that illustrates some of the features of the program

Material control system simulator program reference manual

A description is presented of a Material Control System Simulator (MCSS) program for determination of material accounting uncertainty and system response to particular adversary action sequences that constitute plausible material diversion attempts. The program is intended for use in situations where randomness, uncertainty, or interaction of adversary actions and material control system components make it difficult to assess safeguards effectiveness against particular material diversion attempts. Although MCSS may be used independently in the design or analysis of material handling and processing systems, it has been tailored toward the determination of material accountability and the response of material control systems to adversary action sequences

Artificial Genetic Adaptation In Computer Control Systems.

PhDEngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/180202/2/7123773.pd

Artificial genetic breeding procedures for parameter optimization

http://deepblue.lib.umich.edu/bitstream/2027.42/5583/5/bac4870.0001.001.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/5583/4/bac4870.0001.001.tx

Safeguards material control at licensed processing facilities. Quarterly report, April--June 1977

This is the third quarterly report of progress at LLL on assessment methodologies and tools to assist the NRC in the development and enforcement of performance based regulations pertaining to special nuclear material safeguards at licensed facilities. The first quarterly report presented an overview of LLL's approach as of February, 1977. The second quarterly report describes the design of a hypothetical material control system referred to as the ''test bed design'' which is being used at LLL in the development of techniques for the assessment of material control system effectiveness. This report describes one of these techniques, a specialized computer simulation program for determination of material control system responses to particular adversary action sequences that constitute a material diversion attempt. The report contains an overview description of the Material Control System Simulator (MCSS) program and its role in the LLL assessment procedure. The complete MCSS User's Manual is available in the LLL report UCID 17727. This and the previous quarterly are detailed topical reports and do not present progress made in other areas of this program. Future quarterly reports will resume broad coverage of all aspects of LLL's assistance to the NRC on Safeguards Material Control at Licensed Processing Facilities