EVOLUTION ALGORITHM FOR OPTIMAL CAPACITY EXPANSION
Mitsuo Gen, Baoding Lie · Journal of the Operations Research Society of Japan · 1997
This paper presents an evolution algorithm fbr optimal eapaeity expansion problem which is related to determining when and how much capacity should be added under varying types of demand and cest.[Ib avoid premature convergence and stalling of the evolutionary process, we employ an exponentialfitness scaling scheme.[[b irnprove the chromosomes, we introduce hetero-dimensional rnutation which generates a new dimension and produces a feasible solution, and homo-dimensienal mutation which mutates the chromosomes in the negative ef gradient (subgradient) direction, Some numerical examples are proyided to illustrate the effkictiveness of the proposed evolution algorithm.