Wepropose a new fuzzymathematical programmingmodel for production planning under uncertainty in an industrial environment. This model considers fuzzy constraints related to the total costs, the market demand and the available capacity of the productive resources and fuzzy coefficients for the costs due to the backlog of demand and for the required capacity. The main goal is to determine the mas...

The application of automatic transformation processes during the formal development and optimization of programs can introduce encumbrances in the generated code that programmers usually (or presumably) do not write. An example is the introduction of redundant arguments in the functions defined in the program. Redundancy of a parameter means that replacing it by any expression does not change t...

Managing social-ecological systems can be daunting because of numeric and dynamic complexity. These complexities present great uncertainties for scientists, policy makers, stakeholders, and other groups. When approaching complicated problems, there are often mismatches between problems and solutions. At least three caricatures are useful in demonstrating the mismatch between problem and solutio...

Abstract. This paper concerns the problem of optimal monitoring network layout using information-theoretical methods. Numerous different objectives based on information measures have been proposed in recent literature, often focusing simultaneously maximum and minimum dependence between chosen locations for data collection stations. We discuss these objective functions conclude that a single-ob...

This article provides an analysis of gradient and curvature constraints on path form and length, with particular reference to road, rail and pipeline route selection. Initially we examine the case of a single (global) gradient constraint and a planar surface, with or without boundaries and obstacles. This leads on to a consideration of surface representation using rectangular lattices and proce...

Speaking is generally considered efficient, in that less effort is spent articulating more redundant items. Two possible mechanisms for this optimization are tested. The use of prosodic structure, i.e., lexical stress and sentence accent, to (de-)emphasize (un-)important words, and the facilitation of syllable-articulation by retrieving often used motor-programs from memory. Such a “stored vers...

A new implementation of a symbolic simplification algorithm is presented together with extended theoretical results that support the underlying method for constrained nonlinear optimization problems. The program is capable to automatically recognize simplification transformations, and to detect implicit redundancy in the objective function or in the constraint functions. We have also discussed ...

High-level array programming languages are well-suited for scientific computing. Such languages free the programmer from the responsibility of managing burdensome low-level details that complicate programming in languages like C and Fortran. But these details do not vanish. We argue that the compiler should relieve the programmer of this burden. In this paper, we present a compiler optimization...

Redundancy allocation problem is one of most important problems in reliability area. This problem involves with the suitable redundancy levels under certain strategies to maximizing system reliability under some constraints. Many changes have been made on this problem to draw the problem near to real situations. Selecting the redundancy strategy, using different system configuration are some of...

It has long been a tenet of the fault-tolerance research community that fault– tolerance is possible by exploiting resource redundancy in order to achieve the mission result. Hardware designers, for instance, rely upon various forms of redundant hardware to ensure the availability of at least one system that can produce correct responses. Strangely, one source of redundancy has not been compreh...