Genetic Algorithms: Concepts, Design for Optimization of Process Controllers

Genetic Algorithms: Concepts, Design for Optimization of Process Controllers

Genetic Algorithm is a search heuristic that mimics the process of evaluation. Genetic Algorithms can be applied to process controllers for their optimization using natural operators. This paper discusses the concept and design procedure of Genetic Algorithm as an optimization tool. Further, this paper explores the well established methodologies of the literature to realize the workability and ...

Optimization of PID Controllers Using Ant Colony and Genetic Algorithms

Design of Multiobjective Robust Controllers Using Genetic Algorithms

In this paper we present an approach to design robust controllers. The control design problem is formulated as a multiobjective optimization problem and solved by GAs.

Automatic Design of Hierarchical Fuzzy Controllers Using Genetic Algorithms

An automatic design method for hierarchical fuzzy controllers using genetic algorithms is proposed. A reorder operator for the genetic algorithm is introduced. We applied the method to the problem of controlling an autonomous vehicle with the task to reach a given location and avoiding obstacles on the way.

Design of Sophisticated Fuzzy Logic Controllers Using Genetic Algorithms

Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership functions and fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. This paper develops genetic algorithms for automatic design of high performance fuzzy logic controllers using sophisticated membership functions that intrinsically reflect the nonlinearities encoun...