نتایج جستجو برای: non dominated sorting technique
تعداد نتایج: 1932750 فیلتر نتایج به سال:
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 ...
Multi-Objective Learning Automata for Design and Optimization a Two-Stage CMOS Operational Amplifier
In this paper, we propose an efficient approach to design optimization of analog circuits that is based on the reinforcement learning method. In this work, Multi-Objective Learning Automata (MOLA) is used to design a two-stage CMOS operational amplifier (op-amp) in 0.25μm technology. The aim is optimizing power consumption and area so as to achieve minimum Total Optimality Index (TOI), as a new...
Multi-objective evolutionary algorithms (MOEAs) have been proved successfully in many different applications. Over 900 publications [4] have since proposed various MOEA implementations and applications. However, there is still a significant lack of studies on metrics for MOEA comparison. In this paper, we propose a new visualization technique that will provide better analysis of the nondominate...
Combining classical technologies with modern intelligent algorithms, this paper introduces a new approach for the optimisation and modelling of EAF-based steel-making process based on multi-objective using evolutionary computing machine learning. Using large amount real-world historical data containing 6423 consecutive EAF heats collected from melt shop in an established steel plant work not on...
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