Genetic-entropic algorithm in NK-model
Chang‐Yong Lee, Seung Kee Han · 2002
A new combinatorial optimization algorithm, genetic entropic algorithm, is proposed. To test the algorithm, we adopt the NK model and compare the performances of the genetic entropic algorithm with those of the conventional genetic algorithm. The higher the K value, the better this algorithm performs. The characteristics of this algorithm together with the difference between two algorithms are discussed.