نتایج جستجو برای: multiple objective optimization

تعداد نتایج: 1531659  

Journal: :Advanced Manufacturing: Polymer & Composites Science 2019

Journal: :Journal of Algorithms & Computational Technology 2015

Journal: :International Journal of Applied Energy Systems 2019

Journal: :Mathematics 2021

The practical application of a multi-objective optimization strategy based on evolutionary algorithms was proposed to optimize the plastics thermoforming process. For that purpose, in this work, differently from other works literature, shaping step considered individually with aim optimizing thickness distribution final part originated sheets characterized by different profiles, such as constan...

Journal: :Journal of Mathematical Analysis and Applications 1987

Journal: :journal of industrial strategic management 2014
s.a sheybatolhamdi m hemati m. esfandiar

in financial matters, portfolio can be interpreted as a combination or a series of investments hold by an institution or a person. portfolio optimization is one of the most important concerns of investors for maximizing the portfolio in financial markets. the formation of portfolio is a vital and critical decision for the companies.  in fact, the selection of portfolio is to specify the capital...

2002
Andrej Mihailovic Gosta Leijonhufvud Tapio Suihko

Amongst the activities of the European Commission IST research project MIND [1] is extensive consideration of the multi-homing issues in IP access networks. Analysis of the various multi-homing scenarios reveals diverse aspects of multi-homing relevant to both the operations of the access network as well as the hosts connected to it. The originality of the work presented in this paper is arisin...

2005
Felix Streichert Holger Ulmer Andreas Zell

In many real-world optimization problems sparse solution vectors are often preferred. Unfortunately, evolutionary algorithms can have problems to eliminate certain components completely especially in multi-modal or neutral search spaces. A simple extension of the realvalued representation enables evolutionary algorithms to solve these types of optimization problems more efficiently. In case of ...

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