This paper presents the application of reinforcement learning in automatic analog IC design. In this work, the Multi-Objective approach by Learning Automata is evaluated for accommodating required functionalities and performance specifications considering optimal minimizing of MOSFETs area and power consumption for two famous CMOS op-amps. The results show the ability of the proposed method to ...

Over the past two decades, maritime transportation and container traffic worldwide has experienced rapid and continuous growth. With the increase in maritime transportation volume, the issue of greenhouse gas (GHG) emission has become one of the new concerns for port managers. Port managers and government agencies for sustainable development of maritime transportation considered "green ports" t...

Background: Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective: This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...

Focusing on production processes is the decisive factor in managing an efficient supply chain that leads to company's success. The objective constraints model include all goals company seeks achieve and level for each. In addition clarifying contribution of each decision variable achieving specified levels different goals, conclusions reached are results prove possibility solving a problem. App...

Traditional accounts of belief change have been criticised for placing undue emphasis on the new belief provided as input. A recent proposal to address such issues is the framework of Ghose and Goebel for non-prioritised belief change based on default theories [8]. A novel feature of this approach is the introduction of disbeliefs alongside beliefs which allows for a view of belief contraction ...

The present paper aims to propose a fuzzy multi-objective model to allocate order to supplier in uncertainty conditions and for multi-period, multi-source, and multi-product problems at two levels with wastages considerations.  The cost including the purchase, transportation, and ordering costs, timely delivering or deference shipment quality or wastages which are amongst major quality asp...