Theory and Applications of Evolutionary Computation

Applications of Evolutionary Computation

Why Evolutionary Computation? A1.2 Possible applications of evolutionary computation

This section describes some of the applications to which evolutionary computation has been applied. Applications are divided into the areas of planning, design, simulation and identification, control, and classification.

Evolutionary Computation Applications F1.5 Scheduling

Over the past few years, a continually increasing number of research efforts have investigated the application of evolutionary computation techniques for the solution of scheduling problems. Scheduling problems can pose extremely complex combinatorial optimization problems. The necessity to satisfy various kinds of constraint makes the scheduling task even more difficult. The major portion of t...

Genetic and Evolutionary Computation: Medical Applications

Toward a theory of evolutionary computation.

We outline a theory of evolutionary computation using a formal model of evolutionary computation--the Evolutionary Turing Machine--which is introduced as the extension of the Turing Machine model. Evolutionary Turing Machines provide a better and a more complete model for evolutionary computing than conventional Turing Machines, algorithms, and Markov chains. The convergence and convergence rat...