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 …

This paper introduces in details a genetic algorithm-called BASIC, which is designed to take
advantage of well known genetic schemes so as to be able to deal with numerous …

Fermentation processes by nature are complex, time‐varying, and highly nonlinear. As
dynamic systems their modeling and further high‐quality control are a serious challenge …

The book addresses some of the most recent issues, with the theoretical and methodological
aspects, of evolutionary multi-objective optimization problems and the various design …

Mathematical models that represent food processing operations are characterized by the
nonlinearity of their dynamic behavior with possible discrete events, the existence of several …

Fermentation is an essential step in beer brewing: when yeast is added to hopped wort,
sugars released from the grain during germination are fermented into ethanol and higher …

Fermentation is an essential step in beer brewing, often acting as the system bottleneck due
to the time-consuming nature of the process stage (duration> 120 h), where a trade-off exists …

Genetic algorithm is a heuristic population-based search method that incorporates three
primary operators: crossover, mutation and selection. Selection operator plays a crucial role …

It is often desirable to simultaneously handle several objectives and constraints in practical
optimization problems. In some cases, these objectives and constraints are non …

The declining alcohol industry in the UK and the concurrent surge in supply and variety of
beer products has created extremely competitive environment for breweries, many of which …