Genetic Algorithm is optimization method based on the mechanics of natural genetics and
natural selection. Genetic Algorithm mimics the principle of natural genetics and natural …

Genetic algorithms (GAs) are biologically inspired computing techniques, which tend to
mimic the basic Darwinian concepts of natural selection. They are highly robust and efficient …

Problems with multiple objectives arise in a natural fashion in most disciplines and their
solution has been a challenge to researchers for a long time. Despite the considerable …

The control of quality in continuous casting products cannot be achieved without a
knowledge base which incorporates parameters and variables of influence such as …

Traditional methods often employed to solve complex real world problems tend to inhibit
elaborate exploration of the search space. They can be expensive and often results in sub …

Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are
used in learning and modeling especially with the advent of big data related problems. This …

In the present work, mathematical models of three important casting processes are
considered namely squeeze casting, continuous casting and die casting for the parameters …

Previous work on multiobjective genetic algorithms has been focused on preventing genetic
drift and the issue of convergence has been given little attention. In this paper, we present a …

This article provides a short introduction to the evolutionary multiobjective optimization field.
The first part of the article discusses the most representative multiobjective evolutionary …

Continuous casting is the process of concretion of hot molten liquid in a continuous
groundwork. As the process of secondary cooling has a critical impact on strand surface …