A hybrid genetic algorithm for mixed model assembly line balancing problem with parallel workstations and zoning constraints

Application of Genetic Algorithms and Ant Colony Optimization for Modelling of E. coli Cultivation Process

“…The GA are highly relevant for industrial applications, because they are capable of handling problems with non-linear constraints, multiple objectives, and dynamic components -properties that frequently appear in the real-world problems (Goldberg, 2006;Kumar et al, 1992). Since their introduction and subsequent popularization (Holland, 1992), the GA have been frequently used as an alternative optimization tool to the conventional methods (Goldberg, 2006;Parker, 1992) and have been successfully applied in a variety of areas, and still find increasing acceptance (Akpinar & Bayhan, 2011;Al-Duwaish, 2000;Benjamin et al, 1999;da Silva et al, 2010;Paplinski, 2010;Roeva & Slavov, 2011;Roeva, 2008a).…”

Large neighbourhood search algorithm for type-II assembly line balancing problem

“…In the proposed LNS algorithm, we used task based representation [45], [46], which is used for type-I ALBPs in general. The number of tasks defines the length of the representation schema; however, the situation is different for type-II problems.…”

An autonomous vehicle sequencing problem at intersections: A genetic algorithm approach

“…Genetic Algorithms (GAs), which mimic the evolutionary process in nature, have shown many successful applications to many fields, for example, to solve optimization problems (Akpinar and Bayhan, 2010;Xing et al, 2008), control problems (Witkowska et al, 2007;Belter and Skrzypczyński, 2010), operational problems (Aytug et al, 2003;Hart et al, 2005;Kashan et al, 2008;Wang et al, 1999) and transportation problems (Dridi and Kacem, 2004), etc.…”