Varying fitness functions in genetic algorithms: Studying the rate of increase of the dynamic penalty terms

This publication has 9 references indexed in Scilit:

• On the use of non-stationary penalty functions to solve nonlinear constrained optimization problems with GA's
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
• Varying quality function in genetic algorithms and the cutting problem
  Published by Institute of Electrical and Electronics Engineers (IEEE) ,2002
• Varying fitness functions in genetic algorithm constrained optimization: the cutting stock and unit commitment problems
  IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1998
• A genetic algorithm solution to the unit commitment problem
  IEEE Transactions on Power Systems, 1996
• Thermal unit commitment using genetic algorithms
  IEE Proceedings - Generation, Transmission and Distribution, 1994
• Genetic algorithm solution to the economic dispatch problem
  IEE Proceedings - Generation, Transmission and Distribution, 1994
• An evaluation of local improvement operators for genetic algorithms
  IEEE Transactions on Systems, Man, and Cybernetics, 1993
• Cutting and Packing Problems: A Categorized, Application-Orientated Research Bibliography
  Journal of the Operational Research Society, 1992
• A typology of cutting and packing problems
  European Journal of Operational Research, 1990