نتایج جستجو برای: dominant sorting genetic algorithm
تعداد نتایج: 1441000 فیلتر نتایج به سال:
Solving a New Multi-objective Inventory-Routing Problem by a Non-dominated Sorting Genetic Algorithm
This paper considers a multi-period, multi-product inventory-routing problem in a two-level supply chain consisting of a distributor and a set of customers. This problem is modeled with the aim of minimizing bi-objectives, namely the total system cost (including startup, distribution and maintenance costs) and risk-based transportation. Products are delivered to customers by some heterogeneous ...
دراین رساله عملکرد موتورهای توربوفن از نظر ترمودینامیکی درشرایط خارج از نقطه طراحی بررسی می گردد. این بررسی شامل مقایسه نمودارهای عملکردی موتورهای توربوفن با نسبت کنارگذر بالا و پایین با یکدیگر نیز می باشد. در مدل ترمودینامیکی موتور توربوفن، از روش شبیه سازی مونت کارلو جهت بررسی تاثیر نامعینی های موجود در پارامترهای ورودی ثابت، از قبیل راندمان اتاق احتراق و ارزش حرارتی سوخت، بر روی عملکرد موتور...
Increasing economy’s resistance against the menace of sanctions, various risks, shocks, and internal and external threats are one of the main national policies which can be implemented through bank investments. Investment project selection is a complex and multi-criteria decision-making process that is influenced by multiple and often some conflicting objectives. This paper studies portfolio inve...
Background: Studying the behavior of a society of neurons, extracting the communication mechanisms of brain with other tissues, finding treatment for some nervous system diseases and designing neuroprosthetic devices, require an algorithm to sort neuralspikes automatically. However, sorting neural spikes is a challenging task because of the low signal to noise ratio (SNR) of the spikes. The mai...
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...
A Case Study of a Multiobjective Elitist Recombinative Genetic Algorithm with Coevolutionary Sharing
We present a multiobjective genetic algorithm that incorporates various genetic algorithm techniques that have been proven to be efficient and robust in their problem domain. More specifically, we integrate rank based selection, adaptive niching through coevolutionary sharing, elitist recombination, and non-dominated sorting into a multiobjective genetic algorithm called ERMOCS. As a proof of c...
A method is presented for the construction of arbitrary even-input sorting networks exhibiting better properties than the networks created using a conventional technique of the same type. The method was discovered by means of a genetic algorithm combined with an application-specific development. Similarly to human inventions in the area of theoretical computer science, the evolved invention was...
This paper proposes a multi-objective model for the economic-statistical design of the variable sample size and sampling interval multivariate exponentially weighted moving average control chart by using double warning lines. The Markov chain approach is used to obtain the statistical properties. We extend the Lorenzen and Vance cost function considering multiple assignable causes and multivari...
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