May 2015
Intermediate to advanced
466 pages
10h 33m
English
Content preview from Optimization
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164 Optimization: Algorithms and Applications
S current solution
S* best solution
f* best value of the objective function
N(S) neighborhood of S
N S( )
admissible subset
T tabu list
Chapter Highlights
• GA and PSO work with a population of points in a search space
whereas SA propagates through iterations with a single search point.
• GA mimics the genetic process in which hereditary characteristics
are transmitted from a parent to an offspring.
• GA variables are coded into binary strings.
• In the reproduction step, the best individuals in the population are
selected for mating.
• The diversity in the population is created using crossov ...
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