نتایج جستجو برای: multi objective genetic algorithm
تعداد نتایج: 2159007 فیلتر نتایج به سال:
Abstract The aim of this work is to enable a step towards self-adapting digital toolset for manufacturing planning focusing on minimally constrained assembly line balancing. approach includes the simultaneous definition optimum number workstations, cycle time and assignment tasks workstations. A bespoke genetic algorithm (GENALSAS) proposed demonstrated which focuses examining simple balancing ...
The rapid development of today’s society and the rapidly increasing incidence skeletal injuries caused by traffic industrial accidents have led to a significant increase in number patients with fractures accompanied severe soft tissue injuries, as well an increased osteomyelitis bone defects. Many these cannot be treated internal fixators can only external fixators. Taylor Bone External Fixator...
به کارگیری روشهای بهینه سازی در تحلیل سیستم های عمران، همانند شبکه های توزیع آب و جمع آوری فاضلاب، منابع آب، سازه و... در چند دهه اخیر مورد توجه متخصصین این رشته واقع شده است. با توجه به هزینه بری فراوان طرحهای آب و فاضلاب (شبکه های توزیع آب و جمع آوری فاضلاب) لزوم به کارگیری روشهای نو و به صرفه برای طراحی و اجرای سیستم های مذکور احساس می شود. روشهای سنتی و مرسوم طراحی شبکه های توزیع آب و جمع آ...
This paper presents a Multi-Objective Evolutionary Algorithm based on Decomposition (MOEA/D) for the optimal operation of a complex multipurpose and multi-reservoir system. Firstly, MOEA/D decomposes a multi-objective optimization problem into a number of scalar optimization sub-problems and optimizes them simultaneously. It uses information of its several neighboring sub-problems for optimizin...
in this study, a bi-objective model for integrated planning of production-distribution in a multi-level supply chain network with multiple product types and multi time periods is presented. the supply chain network including manufacturers, distribution centers, retailers and final customers is proposed. the proposed model minimizes the total supply chain costs and transforming time of products ...
A redundancy allocation problem (RAP) is a well-known NP-hard problem that involves the selection of elements and redundancy levels to maximize the system reliability under various system-level constraints. In many practical design situations, reliability apportionment is complicated because of the presence of several conflicting objectives that cannot be combined into a single-objective functi...
background: irreversible electroporation (ire) is a novel tumor ablation technique. ire is associated with high electrical fields and is often reported in conjunction with thermal damage caused by joule heating. for good response to surgery it is crucial to produce minimum thermal damage in both tumoral and healthy tissues named non-thermal irreversible electroporation(ntire). non-thermal irrev...
despite the growing use of evolutionary multi-objective optimization algorithms in different categories of science, these algorithms as a powerful tool in portfolio optimization and specially solving multi-objective portfolio optimization problem is still in its early stages. in this paper, moeas have been used for solving multi-objective portfolio optimization problem in tehran stock market. f...
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