This paper develops a fuzzy chance constrained mixed-integer nonlinear programming (FCC-MINLP) model and the solution methods for refinery short-term crude oil scheduling problem under demands uncertainty. To reduce t...
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This paper develops a fuzzy chance constrained mixed-integer nonlinear programming (FCC-MINLP) model and the solution methods for refinery short-term crude oil scheduling problem under demands uncertainty. To reduce the calculation complexity of the model, it is transformed into its equivalent fuzzy chance constrained mixed-integer linear programming (FCC-MILP) model by using the method of Quesada & Grossmann (1995). After that the FCC-MILP model is solved through its crisp equivalent algorithm and fuzzy simulation algorithm rely on the theory presented by Liu & Iwamura (B. Liu, K. Iwamura, 1998) for the first time in this area. Finally, a case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved in LINGO 8.0 (J. X. Xie and Y. Xue, 2005) with the proposed approaches
A new evolutionary programming algorithm for multi-objective optimization is proposed. It employs two elitism mechanisms and does not include fitness assignment. The proposed algorithm was applied to the mobile robot ...
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A new evolutionary programming algorithm for multi-objective optimization is proposed. It employs two elitism mechanisms and does not include fitness assignment. The proposed algorithm was applied to the mobile robot path planning with three objectives. The random approach combined with a heuristic method based on domain knowledge were used in the initialization process to motivate convergence, and three evolutionary operators named deletion, repair and smooth were designed to improve the searching efficiency of the algorithm. Simulation results indicate that the proposed algorithm can find a set of Pareto optimal solutions efficiently in a single run, from which the decision maker can make a choice
Earliness/tardiness (E/T) scheduling problem under uncertainty are studied in this paper. The main work is to investigate the flow shop scheduling problem with distinct due windows. Uncertain processing time is expres...
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Earliness/tardiness (E/T) scheduling problem under uncertainty are studied in this paper. The main work is to investigate the flow shop scheduling problem with distinct due windows. Uncertain processing time is expressed by grey number. The concept and method of grey simulation was put forward and grey simulation method was used to give the solution method for grey chance constrained programming. Finally, mathematical model for E/T flow shop scheduling which includes grey parameters is studied in details and how to use grey simulation technology to get the best result based on genetic algorithm is introduced. The effectiveness of the model and method is verified by simulation results
The technology of modeling of one class of multi-agent systems with automata based programming is proposed in the paper. The technology is illustrated on the example of system of interacting drone flying objects creat...
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The technology of modeling of one class of multi-agent systems with automata based programming is proposed in the paper. The technology is illustrated on the example of system of interacting drone flying objects creation. UniMod - a tool intended for supporting automata based programming is used for building a control system for each flying object. UniMod also supports the concept of "executable UML"
This paper proposes a new projection onto convex set (POCS) algorithm for enforcing two way constraints originated from point matching, which is based on clustering and quadrate programming. Via point clustering, the ...
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This paper proposes a new projection onto convex set (POCS) algorithm for enforcing two way constraints originated from point matching, which is based on clustering and quadrate programming. Via point clustering, the original POCS problem where the convex set is described by point correspondence' constraints is converted to the POCS problem where the convex set is described by cluster correspondence's constraints. As a result, a lower computational complexity is achieved. Then a numerical quadratic programming (QP) technique is employed to solve the POCS problem, which, in practice, shows to be capable of achieving better performance than existing successive POCS (SPOCS) algorithm. Simulation results show that the algorithm has satisfactory accuracy and computational save
This paper presents a model that simulates a self-assembly process for software components. Initial investigations on the automated self-assembly programming paradigm (ASAP 2 ) is presented whereby software components...
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This paper presents a model that simulates a self-assembly process for software components. Initial investigations on the automated self-assembly programming paradigm (ASAP 2 ) is presented whereby software components are treated as a gas' molecules and their interactions, within a confined area with specific temperature and pressure constraints, give rise to a variety of program architectures. We present experimental results that show how different factors affect the efficiency of the software self-assembly process and the diversity of the self-assembled programs. To the best of our knowledge this is the first time that self-assembly - a ubiquitous natural phenomenon - has been proposed as a (potentially) viable alternative to other automated program synthesis methodologies like for example genetic programming
This paper studies the nonlinear programming with the interval parameters, proposing a novel deterministic interpretation algorithm of interval nonlinear programming. The concept of the risk coefficient is introduced,...
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This paper studies the nonlinear programming with the interval parameters, proposing a novel deterministic interpretation algorithm of interval nonlinear programming. The concept of the risk coefficient is introduced, which shows degree of risk which the decision maker should undertake when seeking the optimal object function value. Also this paper introduces the concept of the largest allowable fluctuation domain to represent the decision maker's requirement of fluctuation range of the objective function value under uncertainty. The proposed algorithm can sufficiently reflect the real decision requirement under uncertain environment
Reporting for analysis is a common demand to database programmers. Unlike dynamic data analysis, reporting tend to be foreseeable. Despite this fact, staff waste their time programming similar reports time and again, ...
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Reporting for analysis is a common demand to database programmers. Unlike dynamic data analysis, reporting tend to be foreseeable. Despite this fact, staff waste their time programming similar reports time and again, where reports are often built from scratch with little if any reuse at all. Based on the predictability and similarity among reports, this work presents a product-line approach to database reporting. The feature model, core assets and production plan of the product line are sketched, and the architecture discussed. The work was conducted under a main requirement: data warehouse technology was not available. Either the cost or the lack of appropriate staff makes small-and-medium companies reluctant to use these sophisticated tools while simple reporting is all they need. In this scenario, the product-line approach can be a cost-effective solution to achieve reuse.
With an increasing demand for a natural, intuitive man-machine interaction in automated industry, the graphical programming with PLC is attracting many applications nowadays. Today, the requirement for wireless commun...
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With an increasing demand for a natural, intuitive man-machine interaction in automated industry, the graphical programming with PLC is attracting many applications nowadays. Today, the requirement for wireless communication environments in industry is becoming a crucial issue in the industrial process. In this paper, a PC-based virtual instrument (VI) to carry out a remote monitoring and control for a precise riveting system via the wireless Internet has been developed. A good performance was verified by the real-time implementation results, and an illustrative demonstration was presented as well
Feature Oriented programming (FOP) is a design methodology and tools for program synthesis in software product lines. Programs are specified declaratively in terms of features. FOP has been used to develop product-lin...
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Feature Oriented programming (FOP) is a design methodology and tools for program synthesis in software product lines. Programs are specified declaratively in terms of features. FOP has been used to develop product-lines in widely varying domains, including compilers for extensible Java dialects [6], fire support simulators for the U.S. Army [4], network protocols [1], web portlets [8], and program verification tools [9].
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