Mustafa Kerim Yilmaz

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This paper addresses the Hybrid Flow Shop (HFS) scheduling problems to minimize the makespan value. In recent years, much attention is given to heuristic and search techniques. Genetic algorithms (GAs) are also known as efficient heuristic and search techniques. This paper proposes an efficient genetic algorithm for hybrid flow shop scheduling problems. The(More)
a r t i c l e i n f o a b s t r a c t Although it is essential for investors who want to comply with their religious obligations, cross-sectoral interaction in Islamic equity markets is an untouched subject in finance literature. Accordingly, this paper aims to investigate the interactions between the ten major sectors of Islamic equity markets by(More)
In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problems. A new mutation operator is also described for this AIS. Fuzzy sets are used to model processing times and due dates. The objectives are to minimize the average tardiness and the number of tardy jobs. The developed new AIS(More)
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