Optimal Allocation of Irregular Shapes Using Adaptive Simulated Annealing

Using simulated annealing for resource allocation

Many resource allocation issues, such as land useor irrigation planning, require input from extensive spatial databases and involve complex decisionmaking problems. Spatial decision support systems (SDSS) are designed to make these issues more transparent and to support the design and evaluationof resource allocation alternatives. Recent developments in this Ž eld focus on the design of allocat...

Optimal vaccination schedules using simulated annealing

SUMMARY Since few years the problem of finding optimal solutions for drug or vaccine protocols have been tackled using system biology modeling. These approaches are usually computationally expensive. Our previous experiences in optimizing vaccine or drug protocols using genetic algorithms required the use of a high performance computing infrastructure for a couple of days. In the present articl...

A System for the Compactation of Two-Dimensional Irregular Shapes based on Simulated Annealing

The problem of compacting a given number of twodimensional shapes minimizing the area of t,he enclosing rectangle, i.e., minimizing the waste prodiiced, arises quite often in some industrial processes like the automotive industry, clothing manufacturing, steel construction, electronic engineering and leat.licr cutting. A simulated annealing approach for the compactation of two-dimensional irreg...

Using Simulated Annealing (SA), Evolutionary Algorithm To Determine Optimal Dimensions of Clay Core in Earth Dams

Earth dam is a structure as homogeneous or non-homogeneous forms for raising water level or water supply. Earth dam consist of different parts that one of the main parts is clay core. Choosing an optimal non permeable core which causes reduction of seepage through dam body and also being stable is necessary. The objective of this research is to optimize the geometry of earth dam clay core such ...

Simulated Annealing and Optimal Codes