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Intrinsic Characteristics

  • Kim F. Man
  • Kit S. Tang
  • Sam Kwong
  • Wolfgang A. Halang
Part of the Advances in Industrial Control book series (AIC)

Abstract

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.

Keywords

Intrinsic Characteristic Multiobjective Problem Penalty Scheme Parallel Genetic Algorithm Fitness Assignment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 1997

Authors and Affiliations

  • Kim F. Man
    • 1
  • Kit S. Tang
    • 1
  • Sam Kwong
    • 2
  • Wolfgang A. Halang
    • 3
  1. 1.Electrical Engineering DepartmentCity University of Hong KongKowloonHong Kong
  2. 2.Computer Science DepartmentCity University of Hong KongKowloonHong Kong
  3. 3.Faculty of Electrical EngineeringFern UniversitatHagenGermany

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