Multiсriterial Search for Rational Solutions When Developing Building Composites

The multicriteriality of the tasks when developing high performance building composites and the need for a quantitative description of the relations of materials characteristics, quality criteria and resource savings, etc. with factors of material composition, production process and operating conditions are emphasized. The approaches commonly used to solve multicriterial optimization problems and their disadvantages are called. The proposed method of iterative random scanning the fields of material properties in coordinates of composition and process parameters is described, allowing the variety of optimization problems to be solved. Designed to find the compromise solutions, by several criteria of optimality with requirements for a number of constraints criteria, the method also allows the acceptable and optimal solutions by individual criteria to be determined. The number of optimality criteria (which must be minimized, maximized, or improved compromisedly) and of constraints criteria (the specified ranges of their values should not be violated) is not limited. The algorithm is quite universal. It is easily implemented in a table processor, in an interactive mode. At any iteration, resource-intensive factors requiring minimization can be added to the number of the criteria, other conditions of the problem can be changed (with new technological information being obtained in computational experiment). The stages and results of the search for a compromise optimum are illustrated by the example of developing the composition of filled carbamide binder.