نتایج جستجو برای: classical genetic algorithms

تعداد نتایج: 1080903  

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: :WormBook : the online review of C. elegans biology 2013
David S Fay

1. An overview of C. elegans genetics ............................................................................................. 2 1.

Journal: :Mathematical Problems in Engineering 2020

Journal: :Soft Comput. 2010
Carlos García-Martínez Manuel Lozano

Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local search-based metaheuristics to improve their behavior. This paper focuses on experimentally investigating the role of a recent approach, the binary-coded local genetic algorithm (BLGA), as context-independent local search o...

2000
Andreas Pitsillides George Stylianou Constantinos S. Pattichis Y. Ahmet Sekercioglu Athanasios V. Vasilakos

−We investigate the performance of a classical constrained optimisation (CCO) algorithm and a constrained optimisation Genetic Algorithm (GA) for solving the Bandwidth Allocation for Virtual Paths (BAVP) problem. We compare throughput, fairness and time complexity of GA-BAVP and CCO-BAVP for several node topologies. The results on maximising the throughput obtained with GA-BAVP and CCOBAVP are ...

Journal: :Bulletin of the Australian Mathematical Society 2008

Journal: :Journal of Korean Institute of Intelligent Systems 2007

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