Programming adaptive control to evolve increased metabolite production

Programming adaptive control to evolve increased metabolite production.

The complexity inherent in biological systems challenges efforts to rationally engineer novel phenotypes, especially those not amenable to high-throughput screens and selections. In nature, increased mutation rates generate diversity in a population that can lead to the evolution of new phenotypes. Here we construct an adaptive control system that increases the mutation rate in order to generat...

Adaptive aggregate production planning with fuzzy goal programming approach

Aggregate production planning (APP) determines the optimal production plan for the medium term planning horizon. The purpose of the APP is effective utilization of existing capacities through facing the fluctuations in demand. Recently, fuzzy approaches have been applied for APP focusing on vague nature of cost parameters. Considering the importance of coping with customer demand in different p...

Using Genetic Programming to Evolve Robot Behaviours

This paper presents the application of genetic programming (GP) to the task of evolving robot behaviours. The domain used here is the well-known wall-following problem. A set of programs were evolved that can successfully perform wall-following behaviours. The experiments involving different wall shapes were designed and implemented to investigate whether the solutions offered by GP are scalabl...

Genetically Programming Networks to Evolve Memory Mechanisms

Many agents need memory to survive in their environment or to solve some specific task. We present an evolutionary approach to the development of agents with memory. This approach is based on a form of distributed genetic programming, named genetically programmed networks. Memory mechanisms are implemented, not by the program structure or some form of indexed memory, but by the evolution of rec...

The case for increased animal production in iran to improve human diets and increased rural emoloyment