نتایج جستجو برای: improvement programming
تعداد نتایج: 629201 فیلتر نتایج به سال:
Microbial cellulases find applications in various industries and constitute a major group of the industrial enzymes. Recently, there is resurgence in utilization of biomass for fuel production employing cellulases and hence forth in obtaining better yields and novel activities. Improving the economics of such processes will involve cost reduction in cellulase production which may be achieved by...
The aim of this project was to optimise selection indices for efficient lean meat growth. Traditionally, genetic improvement of lean meat growth and feed efficiency has been based on ad libitum feeding. However, selection for lean meat growth and feed conversion ratio under ad libitum feeding has led to a reduction in feed intake in modern genotypes to the extent that feed intake is often not s...
هدف از انجام این تحقیق بررسی روشهای مختلف استخراج عوارض خطی، بالاخص جاده ها از تصاویر ماهواره ای می باشد. در این تحقیق از مدل ریاضی برنامه دینامیک dynamic programming استفاده می شود که به صورت نیمه اتوماتیک ضمن تشخیص جاده آن قسمت از آنرا که در تصویر ماهواره ای محو شده و با بریدگی در آن ایجاد شده است نیز تشخیص می دهد
This paper proposes a constrained nonlinear programming view of generalized autoregressive conditional heteroskedasticity (GARCH) volatility estimation models in financial econometrics. These models are usually presented to the reader as unconstrained optimization models with recursive terms in the literature, whereas they actually fall into the domain of nonconvex nonlinear programming. Our re...
This work presents a performance analysis of a Multi-Branches Genetic Programming (MBGP) approach applied in symbolic regression (e.g. function approximation) problems. Genetic Programming (GP) has been previously applied to this kind of regression. However, one of the main drawbacks of GP is the fact that individuals tend to grow in size through the evolution process without a significant impr...
Chemiluminescent immunoassay (CLIA) has been applied in different fields, including environmental monitoring, clinical diagnosis, food safety and pharmaceutical analysis, as a promising approach for selective, sensitive, rapid and simple analysis. It is often necessary to detect a large number of complicated or low-abundance samples. However, traditional methods need great consumption of time, ...
Pig breeders have successfully selected for higher litter size, reduced backfat and improved growth rate (Hermesch, 2006). These outcomes imply that modern sows have higher nutrient demands in comparison to sows of 20 years ago. For example, genetic improvement of litter size has been 0.10 to 0.20 piglets per year in maternal lines. This implies that sows need to eat 50 to 100 grams more feed p...
The NP-hard problem of car sequencing has received a lot of attention these last years. Whereas a direct approach based on integer programming or constraint programming is generally fruitless when the number of vehicles to sequence exceeds the hundred, several heuristics have shown their efficiency. In this paper, very large-scale neighborhood improvement techniques based on integer programming...
This paper introduces an automated circuit design system for the evolution and subsequent invention of CMOS amplifiers. The proposed system relies on a mix of genetic programming and a new topologyindependent design optimisation method referred to as current-flow analysis. Genetic programming evolves new circuit topologies from the collection of primitive devices and basic building blocks. Curr...
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