Boundary Evolution Algorithm for SAT-NP

A boundary evolution Algorithm (BEA) is proposed by simultaneously taking into account the bottom and the high-level crossover and mutation, ie., the boundary of the hierarchical genetic algorithm. Operators and optimal individuals based on optional annealing are designed. Based on the numerous vers...

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Veröffentlicht in:	arXiv.org 2018-12
Hauptverfasser:	Ai, Zhaoyang, Fan, Chaodong, Zhang, Yingjie, Huigui Rong, Tian, Ze'an, Fu, Haibing
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer simulation Crossovers Divergence Elasticity Evolutionary algorithms Genetic algorithms Mutation Simulated annealing
Online-Zugang:	Volltext
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