... be required by some systems. Hence, a genetic algorithm was proposed as a methodology to optimize the performance of fuzzy systems by mutating different regular shapes. Findings A simplified business decision‐making application was described and the proposed selection methodology was explained in the form...

...E. Massad; A.F. Rocha Purpose This second part of a companion paper seeks to extend the theory proposed to apply the hierarchy of fuzzy formal language to cope with the three major phenomenon of life: replication, control and shuffling of genetic information. Design/methodology/approach...

... and diseases are claimed to be caused by a genetical disposition. To prove the soundness of such claims, a strict methodology has to be applied. Findings The usual approach of combining genetical findings with observed behaviour is based on an insufficient epistemology. The neglect of recursive processes...

... Evolution Genetics This is intended primarily as a textbook for lecturers and graduate and undergraduate students, but will certainly attract a wider readership. The authors explain that each of them has many years of teaching experience, and has given instruction on evolutionary computing (EC) both...

... with agronomy traits, will facilitate breeders in plant breeding. So, the construction and use of gene main sequence will bring far‐reaching influence on reconstruction of genes, as well as on plant breeding. © Emerald Group Publishing Limited 2004 Cybernetics Numerical analysis Genetics...

...Yasser Hassan; Eiichiro Tazaki A methodology for using rough set for preference modeling in decision problem is presented in this paper; where we will introduce a new approach for deriving knowledge rules from database based on rough set combined with genetic programming. Genetic programming...

... influence may start quite soon, and its effect could be revolutionary. Dr Brennig James Cherry Orchard, Marlow Common Buckinghamshire, UK Keyword: Genetics, Medical, Chips Product of our genes Medicine for the most part is a process of diagnosis followed by treatment. Ninety...

...(x_E(t_{1),yE(t2)) = i where d is the metric defined in the next section. If i = 0 the cells have the same genes. If i > 0 the cells can be in three different situations: Cybernetics Systems Genetics As a general rule, the metrics known to the author serve}...

... condition x(t) in L. © MCB UP Limited 1999 Neural networks Cybernetics Genetics Evolution strategies The theory of abstract neural automata (Guangcheng, 1996, 1998a) has been proposed in our past work. It differs from previous neural networks in that it is formed...

..., combining and testing inductive hypotheses in the form of genetic building blocks. Agents share and combine building block solutions to evolve decision trees to respond to environmental inputs. Effects of agendas which emphasize stages of conservative and liberal problem solving strategies over a group’s...

...John E. Galletly Presents an overview of the field of genetic algorithms, pioneered in the field of natural adaptive systems and simulated in software. They are shown as representing a novel optimization strategy which is receiving much attention. In machine learning they are a component...

...Peter J. Marcer Interprets and discusses the new and substantial work by the Denis Guichard Prizewinner, Jean‐Claude Perez, on the further understanding of DNA. © MCB UP Limited 1992 Genetics Systems Engineering Kybernetes 21,2 60 Communications Order and Chaos in DNA the Denis...