Fixture design is crucial part of manufacturing process. Fixture design is a critical design activity process, in which automation plays an integral role in linking computer-aided design (CAD) and computer-aided manufacturing (CAD). This paper presents a literature review in computer aided fixture design (CAFD) in terms of automation and optimization techniques over the past decades. First, the...

Over the past decades, several techniques have been employed to improve the applicability of the metaheuristic optimization methods. One of the solutions for improving the capability of metaheuristic methods is the hybrid of algorithms. This study proposes a new optimization algorithm called HPBA which is based on the hybrid of two optimization algorithms; Big Bang-Big Crunch (BB-BC) inspired b...

A Real-Time Optimization (RTO) strategy incorporating the fuzzy sets theory is developed, where the problem constraints obtained from process considerations are treated in fuzzy environment. Furthermore, the objective function is penalized by a fuzzified form of the key process constraints. To enable using conventional optimization techniques, the resulting fuzzy optimization problem is the...

SUMMARY Techniques for increasing the throughput of a peephole optimizer for intermediate code are presented. An analysis of the optimations to be performed enables an efficient matching and replacement algorithm to be found which minimizes rescanning after a successful replacement. The optimizer uses procedural interfaces; both for the input from the front end phase of the compiler and for the...

The usefulness of a hydrologic model is directly related to its application and how well it is calibrated. Calibration is a subjective exercise where model parameters are adjusted to reduce discrepancies between measured data and modeled predictions. Automated calibration can be used to accelerate the model calibration process, minimize modeler bias, and increase the goodness of fit between mea...

The classical methods of optimization are useful in finding the optimum solution of continuous and differentiable functions. These methods are analytical and make use of the techniques of differential calculus in locating the optimum points. Since some of the practical problems involve objective functions that are not continuous and/or differentiable, the classical optimization techniques have ...

Let (I, </) be a measurable space, referred to as the state space. The state space is discrete if I is countable and J consists of all subsets of I. By 77 we denote the set of countable decompositions of I in measurable sets, directed in the usual way by refinement. 770 denotes the subset of 17 consisting of finite decompositions. By a distribution we mean a probability measure on (/, J). The s...