Evolving strategies for enzyme engineering.

Potentials of Evolving Linear Models in Tracking Control Design for Nonlinear Variable Structure Systems

Evolving models have found applications in many real world systems. In this paper, potentials of the Evolving Linear Models (ELMs) in tracking control design for nonlinear variable structure systems are introduced. At first, an ELM is introduced as a dynamic single input, single output (SISO) linear model whose parameters as well as dynamic orders of input and output signals can change through ...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

Engineering enzymes for biocatalysis.

Protein engineering techniques have been available for over two decades beginning with the development of methods for genetic engineering. Since that time, the engineering of enzymes has advanced rapidly along with a revolution in the range and efficiency of new techniques and strategies for designing and evolving proteins in the laboratory. While recent advances in high-throughput screening te...

A Fuzzy Multi Objective Programming Model for Power Generation and Transmission Expansion Planning Problem

The increasing consumption of electricity over time forces different countries to establishnew power plants and transmission lines. There are various crisp single-objective mathematicalmodels in the literature for the long-term power generation and transmission expansion planning tohelp the decision makers to make more reasonable decisions. But, in practice, most of the parametersassociated wit...

Enzyme engineering: rational redesign versus directed evolution.

Enzyme engineering is undergoing the most profound and exciting transformation in its history (1). It promises unprecedented expansion in the scope and applications of modified or improved enzymes with desired physical and catalytic properties. Two complementary strategies are currently available: rational redesign (2-5) and directed evolution (6,7). Although both approaches have met with great...