Based upon the material that has been described in Chaps. 1 and 2, GA can be used to solve a number of practical engineering problems. Normally, the results obtained are quite good and are considered to be compatible to those derived from other techniques. However, a simply GA has difficulty in tackling complicated, multi-tasking and conflicting problems, and the speed of computation is generally regarded as slow. To enhance the capability of GA for practical uses, the intrinsic characteristics of GA should be further exploited and explored.
KeywordsIntrinsic Characteristic Multiobjective Problem Penalty Scheme Parallel Genetic Algorithm Fitness Assignment
Unable to display preview. Download preview PDF.