نتایج جستجو برای: multi objective algorithm

تعداد نتایج: 1636582  

Journal: :journal of optimization in industrial engineering 0
javad hasanpour quchan university of advanced technology mohammad ghodoosi university of torbat-e heydarieh zahra sadat hosseini k.n. toosi university of technology

the aim of a multi-mode resource-constrained project scheduling problem (mrcpsp) is to assign resource(s) with the restricted capacity to an execution mode of activities by considering relationship constraints, to achieve pre-determined objective(s). these goals vary with managers or decision makers of any organization who should determine suitable objective(s) considering organization strategi...

Journal: :international journal of advanced design and manufacturing technology 0
ali reza babaei malek ashtar unversity of technology mohammad reza setayandeh

abstract: in this paper, optimization of boeing 747 wing has been accomplished for cruise condition (mach number=0.85, flight altitude=35000 ft), where an optimal wing shape is proposed. objective functions are minimization of wing weight and drag force that as well as confining design parameters, two functional constrains are applied. the first functional constrain is fuel tank volume in the a...

Journal: :سنجش از دور و gis ایران 0
علی اکبر متکان دانشگاه شهید بهشتی علیرضا شکیبا دانشگاه شهید بهشتی بابک میرباقری دانشگاه شهید بهشتی مهران شایگان دانشگاه تربیت مدرس محمد تناسان دانشگاه شهید بهشتی

with the increase in population and consequent increasing needs of society, land use planning is of particular importance. land use planning due to being involved with several conflicting aims, multi- objective evolutionary algorithm would be a useful tool to solve land use planning. but use of these algorithms should be examined according to the type of issues. in the study, addition to introd...

Journal: :International Journal of Image, Graphics and Signal Processing 2013

Journal: :International Journal on Computational Science & Applications 2012

Journal: :Journal of Optimization Theory and Applications 2013

Journal: :International Journal of Research in Engineering and Technology 2014

Journal: :IEEE Access 2021

This paper introduces an effective method by combining the multi-objective technique with bird swarm algorithm (BSA) to obtain a new called MBSA. The MBSA obtains some of different non-dominated techniques that maintain variety amongst optimal solutions. To verify and evaluate effectiveness MBSA, collections constrained, unconstrained, engineering problems are measured. These have various Paret...

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