The behaviour of Ant Colony Optimization (ACO) algorithms is studied on optimization problems that are composed of different types of subproblems. Numerically exact results are derived using a deterministic model for ...
详细信息
Population based ACO algorithms for dynamic optimization problems are studied in this paper. In the population based approach a set of solutions is transferred from one iteration of the algorithm to the next instead o...
详细信息
We describe a successful implementation of a theorem prover for modal logic S4 that runs on a Java smart card with only 512 KBytes of RAM and 32KBytes of EEPROM. Since proof search in S4 can lead to infinite branches,...
详细信息
Partially reconfigurable FPGAs can be shared among multiple independent tasks. When partial reconfiguration is possible at runtime the FPGA controller can decide on-line were to place new tasks on the FPGA. Since on–...
详细信息
A critical performance issue for a number of scientific and engineering applications is the eficient transfer of data to secondary storage. Languages such as High Performance Fortran (HPF) have been introduced to allo...
详细信息
In ant colony optimization (ACO) artificial ants communicate by laying synthetic pheromone along the edges on their path through a decision graph. This attracts following ants so that they are likely to search in the ...
详细信息
In ant colony optimization (ACO) artificial ants communicate by laying synthetic pheromone along the edges on their path through a decision graph. This attracts following ants so that they are likely to search in the same region of the search space. The problem of how pheromone information should be evaluated in ant systems is studied in this paper. The standard approach for pheromone evaluation is that, for every decision, ants use only the local pheromone values corresponding to the possible outcomes of this decision. We show that the optimization behaviour of an ant algorithm can be improved substantially when the ants use more pheromone information than just local pheromone values. This clearly indicates that the problem of pheromone evaluation is an important topic for ant colony optimization that deserves attention.
Many interesting and important problems related to the analysis of large numerical data can be formulated as a problem of approximating a function from a set of sample points. Any approximation method should provide m...
详细信息
This paper introduces transversal graphs for plans(acyclic directed graphs with labeled vertices) and shows how to reduce various super- and subsequence problems on plans to searching paths in the transversal *** the ...
详细信息
This paper introduces transversal graphs for plans(acyclic directed graphs with labeled vertices) and shows how to reduce various super- and subsequence problems on plans to searching paths in the transversal *** the concept of transversal graphs for sets of strings and the concept of maximal independent set graphs for plans, the transversal graphs for plans allow to solve a wider class of problems in plan merging,project planning,precedence constrained scheduling, manufacturing systems design and DNA sequencing.
作者:
Wu, BCYoung, GSSchmidt, WChoppella, KDr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland
College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young:
a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership
material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories
Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive asse...
详细信息
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.
暂无评论