...Genetic algorithms (GAs) have proved to be a versatile and effective approach for solving combinatorial optimization problems. Nevertheless, there are many...various methods of hybridization have been proposed. These often involve incorporating other methods such as simulated annealing or local optimization as...

...optimization problems. Nevertheless, there are many situations in which the simple genetic algorithm does not perform particularly well, and various methods of hybridization have been proposed. For example, Goldberg used the idea of G-bit improvement for binary strings [171]. Davis advocated...

...heuristics for solving optimization problems has been investigated extensively during the past decade, and various methods of hybridization have been proposed....One of most common forms of hybrid genetic algorithm involves incorporating local optimization as an add-on extra to a canonical genetic algorithm. With...

...mutation would be to alter one or more genes. 42.1.2 Hybrid Genetic Algorithms Genetic algorithms (GAs) have proved to be a versatile and effective approach...perform particularly well, and various methods of have been proposed [42.2]. One of the most common forms of hybrid genetic algorithms is to incorporate...