نتایج جستجو برای: Parallel Genetic Algorithms

تعداد نتایج: 1104270  

Over the past few decades great efforts were made to solve uncertain hybrid optimization problems. The n-Queen problem is one of such problems that many solutions have been proposed for. The traditional methods to solve this problem are exponential in terms of runtime and are not acceptable in terms of space and memory complexity. In this study, parallel genetic algorithms are proposed to solve...

Journal: :international journal of advanced design and manufacturing technology 0
sahar safaei industrial management department faculty of management and accounting, shahid beheshti university,tehran, iran. reihane naderi industrial management department faculty of economics and management, semnan university, iran. amir sohrabi assistant professor in molecular medicine department of molecular biology, research center of health reference laboratory, ministry of health and medical education,tehran, iran. amin hatami business management department faculty of management and accounting, farabi college, university of tehran, iran

abstract: this paper considers the problem of scheduling n jobs on m unrelated parallel machines with sequence-dependent setup times. to better comply with industrial situations, jobs have varying due dates and ready times and there are some precedence relations between them. furthermore sequence-dependent setup times and anticipatory setups are included in the proposed model. the objective is ...

Journal: :journal of optimization in industrial engineering 0
mehdi yazdani department of industrial engineering, faculty of industrial and mechanical engineering, islamic azad university, qazvin branch, qazvin, iran bahman naderi department of industrial engineering, faculty of engineering, kharazmi university, tehran, iran

although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. but, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. this paper considers the problem of scheduling no-idle hybrid flow shops. a mixed integer linear programming model is first developed to mathematically form...

B. M. Vishkaei, M. EbrahimNezhad Moghadam Rashti, R. Esmaeilpour,

Abstract In general redundancy allocation problems the redundancy strategy for each subsystem is predetermined. Tavakkoli- Moghaddam presented a series-parallel redundancy allocation problem with mixing components (RAPMC) in which the redundancy strategy can be chosen for individual subsystems. In this paper, we present a bi-objective redundancy allocation when the redundancy strategies for...

In this paper, a Job shop scheduling problem with a parallel assembly stage and Lot Streaming (LS) is considered for the first time in both machining and assembly stages. Lot Streaming technique is a process of splitting jobs into smaller sub-jobs such that successive operations can be overlapped. Hence, to solve job shop scheduling problem with a parallel assembly stage and lot streaming, deci...

Journal: :International Journal of Electrical and Computer Engineering (IJECE) 2017

Journal: :Journal of Computer Science and Cybernetics 2012

Although several papers have studied no-idle scheduling problems, they all focus on flow shops, assuming one processor at each working stage. But, companies commonly extend to hybrid flow shops by duplicating machines in parallel in stages. This paper considers the problem of scheduling no-idle hybrid flow shops. A mixed integer linear programming model is first developed to mathematically form...

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